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Warning

HWNotes

(1) Any time a problem is referenced in your customized textbook, you only need to answer the question(s) you are being asked in your homework.

(2) If you encounter any programming issues, please contact the homework programmer immediately. His contact info is on the Notes page of the Instructions for All STAT 3331 Homeworks spreadsheet (located

in Blackboard's Assigned Homework folder).

(3) ABOVE ALL, MAKE SURE YOU HAVE CORRECTLY CHOSEN THE DEPENDENT AND INDEPENDENT VARIABLES… OTHERWISE, YOUR ENTIRE HOMEWORK 7 COULD BE WRONG!

(4) As stated in the directions for Hand-Calculated Questions 1-7, make sure you carry ALL your decimal places. Although you will only be typing in a certain number of decimals for an answer on your answer page, you may

need to use an answer (in its full decimal format) to answer other questions. In fact, if I were you, I would double check your answers in Excel!

(5) Please be careful with the intervals you construct! Your endpoints MUST be unit-specific (i.e., be multiplied by the correct multiple and have the correct label). Keep in mind that you may need to simplify your

calculations ($1000/100sq.ft.=$10/sq.ft., for example).

An Example To Help With Units:

Suppose y units are 15 feet/sec and x units are 5 revolutions/sec and you are calculating units for β1:

=[15 feet/sec]/[5 revolutions/sec]

=[15 feet/sec]*[sec/5 revolutions]

= 3 feet/revolution

Remember that units consist of (1) a multiple and (2) a label. Sometimes, when doing the calculation to get the units, numbers and/or labels may cancel each other out.

(6) When it comes to critical values (Steps 2 & 3):

(a) The t values on the t table only have three decimals. So, if you are looking for the t critical value associated with a particular area and df, go to where the area column crosses with the df row on the table.

(b) The F values on the F table only have two decimals. So, if you are looking for the F critical value associated with a particular area, df1, and df2, go to the area page where the df1 column crosses with

the df2 row on the table.

(7) In addition to NOTE (6) above, for Hand-Calculated Question 5:

(a) Fstat must be typed to two decimals.

(8) The Excel output you generate MUST look like output in the CHAP12 sheet of the Excel Templates spreadsheet (located on Blackboard's Textbook/Packet Discussion board). Make sure you have followed the

HWExcelDirections carefully! Failure to follow instructions will result in point deductions.

(9) In addition to NOTE (6) above, for Excel Questions 8 and 12:

(a) the answer must be derived by typing the CI/PI endpoint formula in the answer cell using a looked-up table value (from a hard-copy of the table... not Excel) and cell-referenced items from the Excel output.

(10) If you are having trouble with any of the homework problems, you should (1) visit your professor during office hours, (2) visit with the STAT tutors in the Bauer Tutoring Lab, (3) visit with the STAT tutors at Learning

Support Services, or (4) post a question on Blackboard (under the Homework Discussion board).

(11) Remember that you are responsible for all Homework 7's specific instructions as well as instructions given in the Instructions for All STAT 3331 Homeworks spreadsheet (located in Blackboard's Assigned Homework

folder).

HWExcelDirections

(1) Read Homework Instruction #1 on the Instructions for All STAT 3331 Homeworks spreadsheet (located in Blackboard's Assigned Homework folder).

(2) Open your Homework 7.xlsb file and go to the UsedCamry sheet.

(3) Using the Chap12 sheet in the Excel Templates spreadsheet (located on Blackboard's Textbook/Packet Discussion board) as a guide, construct a Regression output in the designated cells. The output MUST be

placed in these designated cells to receive any credit. To move the data into column A and B of the UsedCamry sheet, simply click on the button! On your output, make sure…

(a) you use the 95% CI/PI defaults

(b) your prediction block has information for x0=7.6 and x0=5.7 (in that order).

(4) The Regression output MUST

(a) be in bold font

(b) be formatted to four decimal places

(c) have an appropriate column width (i.e., a width of at least 17 for column L through column R on the UsedCamry sheet).

(5) The following MUST be deleted off the output before answering any Homework 7 questions:

(a) the duplicate Upper and Lower 95% C.I. endpoints for β0 and β1

(b) the resulting values of Multiple R and Standard Error in the Regression Statistics section. (Do not delete the words "Multiple R" and "Standard Error".)

(6) Re-save the Homework 7.xlsb file.

(7) Once you are finished with your homework, follow Homework Instruction #2 on the Instructions for All STAT 3331 Homeworks spreadsheet to submit your homework for grading.

HW

First Name	Gilles Cedric	LEGEND	Possible	Your Score
Last Name	Kouame	Answer must be typed to either 2 or 3 decimals depending on whether the F or t table is appropriate. Please use the tables provided in STAT 3331 (not the tables in the textbook).	Answers
Cougernet ID	gnkouame	70 Pts	0 Pts
Peoplesoft ID	0	Answer must be typed to four decimals	Output
Section #	19406	Answer must be chosen from drop down menu	30 Pts	0 Pts
Answer must be derived using cell references	Total
TISETC	There is significant evidence to conclude	100 Pts	0 Pts
TINSETC	There is not significant evidence to conclude
n=	15
∑yi=	84
∑y2i=	1329.4
∑xi=	78
∑x2i=	416.6
∑xiyi=	508.8
Question 1	What is the estimated regression equation? (Specify which variable is y and which is x)	6 Pts	0 Pts
=	+
where	y =
x =
Question 2	Show the ANOVA table.	5 Pts	0 Pts
df	SS	MS
Regression
Error
Total
Question 3	What is the r2 for this model?	2 Pts	0 Pts
Question 4	What is the 80% confidence interval for β1 (with appropriate units)?	5 Pts	0 Pts
Lower Endpoint	Upper Endpoint
Question 5	Test H0: β1=0 vs. Ha: β1≠0 at α=0.025. (Use the F table)
Step 1:	H0:	1 Pts	0 Pts
Ha:
Step 2:	=	1 Pts	0 Pts
Step 3:	Fill in the row 62 if using an F test.	1 Pts	0 Pts
Reject H0 if
Fill in the row 66 if using a t test. The smaller number must be typed first.
Reject H0 if	or
Step 4:	=	2 Pts	0 Pts
Step 5:	H0	1 Pts	0 Pts
Step 6:	1 Pts	0 Pts
Step 7:	The lower boundary must go on the left and the upper boundary on the right.	3 Pts	0 Pts
P-value
Question 6	What is the 95% confidence interval for the mean value of y when x0=6.2 (with appropriate units)?	5 Pts	0 Pts
Lower Endpoint	Upper Endpoint
Question 7A	If x0=4.8, what is the predicted value for y (with appropriate units)?	2 Pts	0 Pts
Question 7B	If x0=4.8, what is 98% prediction interval for an individual value of y (with appropriate units)?	5 Pts	0 Pts
Lower Endpoint	Upper Endpoint
Question 8	Cell reference statistics off the Excel output and look-up table value to construct a 90% confidence interval for β1 (with appropriate units).	4 Pts	0 Pts
Lower Endpoint	Upper Endpoint
Question 9	INTERPRET the r2 for this model.	3 Pts	0 Pts
of the total variation in	is explained by the variation in
Question 10	What is the best estimate of the true error variance?	1 Pts	0 Pts
Question 11	Test H0: β1=0 vs. Ha: β1≠0 at α=0.001. (Use the t table)
Step 1:	H0:	1 Pts	0 Pts
Ha:
Step 2:	=	1 Pts	0 Pts
Step 3:	Fill in the row 131 if using an F test.	1 Pts	0 Pts
Reject H0 if
Fill in the row 135 if using a t test. The smaller number must be typed first.
Reject H0 if	or
Step 4:	=	2 Pts	0 Pts
Step 5:	H0	1 Pts	0 Pts
Step 6:	1 Pts	0 Pts
Step 7:	P-value	=	3 Pts	0 Pts
Question 12A	If x0=5.7, what is sind (i.e., spred)? (Use MSE in the calculations)	3 Pts	0 Pts
Question 12B	If x0=5.7, cell reference statistics off the Excel output, your answer to Part A, and look-up a table value to construct a 99% prediction interval	4 Pts	0 Pts
for an individual value of y (with appropriate units).
Lower Endpoint	Upper Endpoint
Question 13	INTERPRET the slope for this model.	3 Pts	0 Pts
For an increase of	in	, the mean
by	.
Question 14	What is the correlation for this model?	2 Pts	0 Pts

Note: Answer Questions 1-2 by Using the TI-30XA (or other approved) Calculator. IMPORTANT: Make sure to round answers according to instructions before entering them below.

Pediatricians wish to look at the relationship between the number of hours per day a child watches television and the number of pounds the child is overweight. Summary measures for a random sample of fifteen 10-year-old children are given below.

Data was collected in 2012 to investigate the relationship between a used 2007 Toyota Camry's mileage and its sales price. (See exercise 61 on page 604 of your textbook for a similar problem.) Use the data in the UsedCamry sheet in this workbook to generate excel output to answer the following questions. Each orange numerical answer cell below MUST reference Excel output cells in the UsedCamry sheet. NOTE: The units are "10,000 miles" for mileage and "$1000" for price.

Note: Answer Questions 8-14 by Using the Excel Output

HW Solution

First Name	Gilles Cedric	LEGEND
Last Name	Kouame	Answer must be typed to either 2 or 3 decimals depending on whether the F or t table is appropriate. Please use the tables provided in STAT 3331 (not the tables in the textbook).
Cougernet ID	gnkouame
Peoplesoft ID	0	Answer must be typed to four decimals
Section #	19406	Answer must be chosen from drop down menu
Answer must be derived using cell references
TISETC	There is significant evidence to conclude
TINSETC	There is not significant evidence to conclude
n=	15
∑yi=	84
∑y2i=	1329.4
∑xi=	78
∑x2i=	416.6
∑xiyi=	508.8
Question 1	What is the estimated regression equation? (Specify which variable is y and which is x)
ŷ	=	-28.4364	+	6.5455	x
where	y =	pounds overweight
x =	hours watching tv per day
Question 2	Show the ANOVA table.
df	SS	MS
Regression	1	471.2727	471.2727
Error	13	387.7273	29.8252
Total	14	859
Question 3	What is the r2 for this model?	0.5486
Question 4	What is the 80% confidence interval for β1 (with appropriate units)?
Lower Endpoint	4.3225	pounds/(hours per day)	Upper Endpoint	8.7684	pounds/(hours per day)
Question 5	Test H0: β1=0 vs. Ha: β1≠0 at α=0.025. (Use the F table)
Step 1:	H0:	β1	=	0
Ha:	β1	≠	0
Step 2:	F crit	=	+	6.41
Step 3:	Fill in the row 62 if using an F test.
Reject H0 if	F stat	>	6.41
Fill in the row 66 if using a t test. The smaller number must be typed first.
Reject H0 if	or
Step 4:	F stat	=	15.8
Step 5:	Reject	H0
Step 6:	TISETC	β1	≠	0
Step 7:	The lower boundary must go on the left and the upper boundary on the right.
0.001	<	P-value	<	0.0025
Question 6	What is the 95% confidence interval for the mean value of y when x0=6.2 (with appropriate units)?
Lower Endpoint	7.4628	pounds	Upper Endpoint	16.8281	pounds
Question 7A	If x0=4.8, what is the predicted value for y (with appropriate units)?
2.9818	pounds
Question 7B	If x0=4.8, what is 98% prediction interval for an individual value of y (with appropriate units)?
Lower Endpoint	-12.0667	pounds	Upper Endpoint	18.0303	pounds
Question 8	Cell reference statistics off the Excel output and look-up table value to construct a 90% confidence interval for β1 (with appropriate units).
Lower Endpoint	-0.0468	dollars/mile	Upper Endpoint	-0.0132	dollars/mile
Question 9	INTERPRET the r2 for this model.
0.2993	of the total variation in	price	is explained by the variation in	mileage
Question 10	What is the best estimate of the true error variance?	0.8688
Question 11	Test H0: β1=0 vs. Ha: β1≠0 at α=0.001. (Use the t table)
Step 1:	H0:	β1	=	0
Ha:	β1	≠	0
Step 2:	t crit	=	±	3.792
Step 3:	Fill in the row 131 if using an F test.
Reject H0 if
Fill in the row 135 if using a t test. The smaller number must be typed first.
Reject H0 if	t stat	<	-3.792	or	t stat	>	3.792
Step 4:	t stat	=	-3.0654
Step 5:	Fail to Reject	H0
Step 6:	TINSETC	β1	≠	0
Step 7:	P-value	=	0.0057
Question 12A	If x0=5.7, what is sind (i.e., spred)? (Use MSE in the calculations)	0.9997
Question 12B	If x0=5.7, cell reference statistics off the Excel output, your answer to Part A, and look-up a table value to construct a 99% prediction interval
for an individual value of y (with appropriate units).
Lower Endpoint	3,765.9907	dollars	Upper Endpoint	9,402.2969	dollars
Question 13	INTERPRET the slope for this model.
For an increase of	10,000 miles	in	mileage	, the mean	price	decreases
by	300.1255	dollars	.
Question 14	What is the correlation for this model?	-0.5471

Note: Answer Questions 1-2 by Using the TI-30XA (or other approved) Calculator. IMPORTANT: Make sure to round answers according to instructions before entering them below.

Note: Answer Questions 8-14 by Using the Excel Output

UsedCamry

y	x	Dep.=	Indep.=
Price	Mileage
5.97	5.2	SUMMARY OUTPUT
6.94	5.9
5.64	6.2	Regression Statistics
6.78	6.7	Multiple R
5.55	6.8	R Square
6.06	7.4	Adjusted R Square
4.62	7.5	Standard Error
6.66	7.7	Observations
7.20	7.9
7.27	8.3	ANOVA
6.30	8.5	df	SS	MS	F	Significance F
7.33	8.4	Regression
6.31	8.8	Residual
4.54	9.3	Total
3.98	9.5
4.81	9.7	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%
4.58	9.8	Intercept
6.49	10.4	X Variable 1
3.92	10.6
5.29	10.4
4.66	11.1
5.27	11.4	Predicted	SE	CI	CI	PI	PI
5.04	11.8	x0	Value	Predicted Value	Lower 95%	Upper 95%	Lower 95%	Upper 95%
4.21	12.8

You MUST follow the CHAP12 sheet in the Excel Templates spreadsheet to receive full credit for your output. This means, among other things that your label formulas must be in cells L1-M1, the Excel output generated by the Data Analysis (Regression) procedure must start in L3, and the Prediction block of information must start in L24.

Click this button until you are satisfied the dependent variable is in column A and the independent variable is in column B.

UsedCamry_Solution

y	x	Dep.=Price	Indep.=Mileage
Price	Mileage	Grading	Result	Deductions
5.97	5.20	Regression Output Correct	-20	SUMMARY OUTPUT
6.94	5.90	x0 rows are correct
5.64	6.20	1st x0 row correct	-10	Regression Statistics
6.78	6.70	2nd x0 row correct	Multiple R
5.55	6.80	Deleted "Multiple R" and "Standard Error" values	0	R Square	0.2993
6.06	7.40	Deleted the duplicate 95% C.I. for β0 and β1	0	Adjusted R Square	0.2674
4.62	7.50	Formatting is correct	Standard Error
6.66	7.70	4 Decimals	0	Observations	24.0000
7.20	7.90	Bold Font
7.27	8.30	Column Width	ANOVA
6.30	8.50	Labels for Indep and Dep Variables are correct	-1	df	SS	MS	F	Significance F
7.33	8.40	Final Score	Regression	1.0000	8.1641	8.1641	9.3966	0.0057
6.31	8.80	Maximum Value	30	Residual	22.0000	19.1144	0.8688
4.54	9.30	Total Deductions	-31	Total	23.0000	27.2784
3.98	9.50	Total Score	0
4.81	9.70	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%
4.58	9.80	Intercept	8.2949	0.8859	9.3628	0.0000	6.4575	10.1322
6.49	10.40	X Variable 1	-0.3001	0.0979	-3.0654	0.0057	-0.5032	-0.0971
3.92	10.60
5.29	10.40
4.66	11.10
5.27	11.40	Predicted	SE	CI	CI	PI	PI
5.04	11.80	x0	Value	Predicted Value	Lower 95%	Upper 95%	Lower 95%	Upper 95%
4.21	12.80	7.6000	6.0139	0.2256	5.5461	6.4817	4.0250	8.0028
5.7000	6.5841	0.3613	5.8348	7.3335	4.5109	8.6574

Data_Grader

References	Student Answer Range
Regression Output	M19:R20	UsedCamry
Regression Output w/o CI	M19:P20	UsedCamry
x0 row 1 output	L26:R26	UsedCamry
x0 row 2 output	L27:R27	UsedCamry
Required Blank	M6,M9	UsedCamry
Required Blank 2	S19:V20	UsedCamry
4 Decimals Cells	M7:M8,M10,N14:N16,O14:Q14,O15,M19:R20,M26:R27	UsedCamry
Bold Cells	L5:L10,M7:M8,M10,L12,L14:L16,M13:N16,O13:O15,P13:Q14,L19:L20,M18:R20,L25:L27,M24:R27	UsedCamry
Label Cells	L1:M1	UsedCamry
Column Widths
SheetName	UsedCamry
L	17
M	17
N	17
O	17
P	17
Q	17
R	17
Calculations
Regression Output Correct	-20
Regression output w/o CI correct
x0 Row 1 correct	0
x0 Row 2 correct	0
x0 rows correct order	0
x0 row error sum	1
x0 row deductions	-10
Deleted values
Removed extra output
4 Decimals
Is Bold
Column Width
Label Cells

^QG

Alphas
Question	Selection	Options
5	0.025	0.025	0.0025
10	0.001	0.05	0.005	0.001
Confidence Intervals
Question	Selection	Options
4	80	80	90	95	98	99
6	95	80	90	95	98	99
7B	98	80	90	95	98	99
8	90	80	90	95	98	99
13B	99	80	90	95	98	99
Constraint
Problem 8 CI	90	<>	95	TRUE
Problem 13B CI	99	<>	95	TRUE
TRUE

^Q1..7

Main Question:	Pediatricians wish to look at the relationship between the number of hours per day a child watches television and the number of pounds the child is overweight. Summary measures for a random sample of fifteen 10-year-old children are given below.
Item	Value	Min	Max	n	15.0000	15.0000
Y intercept	-28.0	-36	-16	Syi	84.2000	84.0000
Slope	6.400	35	75	Sy2i	1331.6336	1329.4000
Error	8	Sxi	78.0000	78.0000
pounds	1	Sx2i	416.6600	416.6000
hours	1	Sxiyi	509.9240	508.8000
Q6 x0	6.2
Q7B x0	4.8
y	y2	x	x2	xy
7.6	57.8	6.5	42.3	49.4
1.2	1.5	4.1	16.8	5.1
17.8	315.4	5.9	34.8	104.8
6.4	41.0	6.0	36.0	38.4
10.2	104.0	5.5	30.3	56.1
3.4	11.8	4.6	21.2	15.8
10.6	113.2	5.1	26.0	54.3
3.7	13.5	6.2	38.4	22.8
4.1	16.6	4.7	22.1	19.2
-0.6	0.4	4.9	24.0	-3.1
-9.0	81.7	3.9	15.2	-35.3
15.8	250.9	5.6	31.4	88.7
9.9	98.4	5.3	28.1	52.6
12.0	145.0	6.1	37.2	73.4
-9.0	80.3	3.6	13.0	-32.3
Question 1	What is the estimated regression equation? (Specify which variable is y and which is x)
Calculations
xbar	5.2000
ybar	5.6000
ssyy	859.0000
ssxx	11.0000
ssxy	72.0000
b1hat	6.5455
b0hat	-28.4364
Question 2	Show the ANOVA table.
Calculations	df	ss	ms
reg	1	471.2727	471.2727
err	13	387.7273	29.8252
tot	14	859.0000
Question 3	What is the r2 for this model?
Calculations
err	29.8252
r2	0.5486
r	0.7407
Constraint
Pvalue	0.0010	0.0016	0.1	TRUE
Question 4	What is the 80% confidence interval for β1 (with appropriate units)?	xbar not whole #	5.2000	<>	5.0000	TRUE
ybar not whole #	5.6000	<>	5.0000	TRUE
sb1hat	1.6466	Syi > 30	84.2000	>	30.0000	TRUE
%CI	0.80	max(y)	10.0000	17.7600	30.0000	TRUE
df	13	min(y)	-20.0000	-9.0400	-5.0000	TRUE
crit	1.3502	TRUE
CI Lower	4.3225
CI Upper	8.7684
CI Lower w/ Units	4.3225
CI Upper w/ Units	8.7684
Question 5	Test H0: β1=0 vs. Ha: β1≠0 at α=0.025. (Use the F table)
Calculations	alpha	0.0250	Lookup Table
df	13	0.001
tcrit	2.5326	0.0025
tstat	3.9751	0.005
pvalue	0.0016	0.01
Fcrit	6.4100	0.025
Fstat	15.8012	0.05
Lower Bound	0.0010	0.1
Upper Bound	0.0025
Question 6	What is the 95% confidence interval for the mean value of y when x0=6.2 (with appropriate units)?
Calculations	x0	6.2
yhat	12.1455
syhat	2.1679
%ci	0.95
df	13
crit	2.1604
CI Lower	7.4628
CI Upper	16.8281
CI Lower w/ Units	7.4628
CI Upper w/ Units	16.8281
Question 7A	If x0=4.8, what is the predicted value for y (with appropriate units)?
Question 7B	If x0=4.8, what is 98% prediction interval for an individual value of y (with appropriate units)?
x0	4.8
yhat	2.9818
yhat w/ units	2.9818
s(y-yhat)	5.6787
%pi	0.98
df	13
crit	2.6503
PI Lower	-12.0667
PI Upper	18.0303
PI Lower w/Units	-12.0667
PI Upper w/Units	18.0303

^Q8..13

Price	Mileage
5.97	5.20	Item	Value	Min	Max	n	24.0000	Dep.=Price	Indep.=Mileage
6.94	5.90	Y intercept	8.5466	75000	105000	Syi	135.4200
5.64	6.20	Slope	-0.3	-5,000	-2,000	Sy2i	791.3858	SUMMARY OUTPUT
6.78	6.70	Error	15	Sxi	212.1000
5.55	6.80	%	1,000	Sx2i	1965.0700	Regression Statistics
6.06	7.40	yards	10,000	Sxiyi	1169.5720	Multiple R
4.62	7.50	1st x0	7.6	R Square	0.2993
6.66	7.70	Q13 x0	5.70	Adjusted R Square	0.2674
7.20	7.90	Standard Error
7.27	8.30	Observations	24.0000
6.30	8.50
7.33	8.40	y	y2	x	x2	xy	ANOVA
6.31	8.80	6.0	35.64	5.2	27.04	31.0	df	SS	MS	F	Significance F
4.54	9.30	6.9	48.16	5.9	34.81	40.9	Regression	1	8.1641	8.1641	9.3966	0.0057
3.98	9.50	5.6	31.81	6.2	38.44	35.0	Residual	22	19.1144	0.8688
4.81	9.70	6.8	45.97	6.7	44.89	45.4	Total	23	27.2784
4.58	9.80	5.6	30.80	6.8	46.24	37.7
6.49	10.40	6.1	36.72	7.4	54.76	44.8	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%
3.92	10.60	4.6	21.34	7.5	56.25	34.7	Intercept	8.2949	0.8859	9.3628	0.0000	6.4575	10.1322
5.29	10.40	6.7	44.36	7.7	59.29	51.3	X Variable 1	-0.3001	0.0979	-3.0654	0.0057	-0.5032	-0.0971
4.66	11.10	7.2	51.84	7.9	62.41	56.9
5.27	11.40	7.3	52.85	8.3	68.89	60.3
5.04	11.80	6.3	39.69	8.5	72.25	53.6
4.21	12.80	7.3	53.73	8.4	70.56	61.6	Predicted	SE	CI	CI	PI	PI
6.3	39.82	8.8	77.44	55.5	x0	Value	Predicted Value	Lower 95%	Upper 95%	Lower 95%	Upper 95%
4.5	20.61	9.3	86.49	42.2	7.6000	6.0139	0.2256	5.5461	6.4817	4.0250	8.0028
4.0	15.84	9.5	90.25	37.8	5.7000	6.5841	0.3613	5.8348	7.3335	4.5109	8.6574
4.8	23.14	9.7	94.09	46.7
4.6	20.98	9.8	96.04	44.9
6.5	42.12	10.4	108.16	67.5
3.9	15.37	10.6	112.36	41.6
5.3	27.98	10.4	108.16	55.0
4.7	21.72	11.1	123.21	51.7
5.3	27.77	11.4	129.96	60.1
5.0	25.40	11.8	139.24	59.5
4.2	17.72	12.8	163.84	53.9
xbar	8.8375	alpha	0.0010
ybar	5.6425	df	22
ssyy	27.2784	tcrit	3.7921
ssxx	90.6362	tstat	-3.0654
ssxy	-27.2023	pvalue	0.0057
b1hat	-0.3001	Fcrit	14.3803
b0hat	8.2949	Fstat	9.3966
err	0.8688	Lower Bound
r2	0.2993	Upper Bound
r	-0.5471	x0	5.7
sb1hat	0.0979	yhat	6.5841
%CI	0.90	yhat w/ units	6584.1438
df	22	s(y-yhat)	0.9997
crit	1.7171	%pi	0.99
CI Lower	-0.4682	df	22
CI Upper	-0.1320	crit	2.8188
CI Lower w/ Units	-0.0468	PI Lower	3.7660
CI Upper w/ Units	-0.0132	PI Upper	9.4023
PI Lower w/Units	3765.9907
PI Upper w/Units	9402.2969
df	ss	ms
reg	1	8.1641	8.1641
err	22	19.1144	0.8688
tot	23	27.2784
Constraint
Pvalue	0.0001	0.0057	0.1	TRUE
TRUE

Roster

Username	Student ID	Last Name	First Name	Section	Section Override	Comment	Q1	Q2	Q3	Sections
abcde	12345	user	test	10973	TRUE	Test Student	2	1	1	10973
qvle3	1470832	Le	Quynh	10973	TRUE	TA	2	1	2	10974
mhoag2	0	Hoag	Michael	10974	TRUE	TA	1	1	2	10975
kdomingu	0	Domingues	Kyle	10975	TRUE	TA	2	2	2	17672
jbarksd2	0	Barksdale	Jake	10976	TRUE	TA	2	2	1	19406
mtngu200	0	Nguyen	Minh	10977	TRUE	TA	1	1	1
bnie	0	Nie	Bo	10978	TRUE	TA	1	1	1
ssheraz2	0	Sheraz	Sundus	10979	TRUE	TA	1	2	1
amabdel2	1534680	Abdel Aziz	Abdallah	10975	1	2	1
apabercr	0	Abercrombie	Amanda	10974	2	1	1
jaboites	0	Aboites	Joselin	10974	2	1	2
nabouzei	0	Abouzeid	Nouran	10975	1	2	2
sabuain	0	Abuain	Sarah	10975	1	1	2
amabuein	0	Abuein	Areen	10973	2	2	1
blaceved	1491316	Acevedo	Bertie	10973	2	2	1
naddai	0	Addai	Nhyira	10974	2	1	2
maddison	0	Addison-Smith	Mark	10973	2	2	1
vtadkins	0	Adkins	Virginia	10973	2	2	2
zmadmani	0	Admani	Zahra	10975	2	1	1
ajagbu	0	Agbu	Afam	10975	2	2	1
iahmad5	0	Ahmad	Inad	10974	1	1	2
sahmad25	0	Ahmad	Shan	10973	1	2	1
aahmed44	0	Ahmed	Amna	10974	1	1	2
diahmed	0	Ahmed	Danial	10975	2	1	1
ajaigbok	0	Aigbokhan	Angelical	10974	2	1	1
aajani3	0	Ajani	Alif	10973	2	1	2
ssakbar	0	Akbar	Saeed	10973	2	2	2
hsalame2	0	Alamer	Hussain	10974	2	1	2
aralamil	920794	Alamilla	Anthony	10974	2	2	1
nalaniz	0	Alaniz	Nathaniel	10973	2	1	1
talarcon	0	Alarcon	Tizoc	10974	2	2	1
jhaldaye	1385252	Aldayem	Jasmin	10973	2	2	2
bsali	0	Ali	Baqir	10973	2	2	2
siali2	0	Ali	Sumreen	10974	2	2	1
clalliso	0	Allison	Christopher	10973	1	2	2
halmuhan	0	Almuhanna	Hajar	10973	1	1	1
tdaltemu	0	Altemus	Timothy	10973	2	1	1
jpalvar5	0	Alvarado	Jacob	10973	1	2	1
oalvare4	0	Alvarez	Oscar	10975	1	1	2
cmalvar6	1435704	Alvarez Barragan	Cynthia	10975	2	1	1
oaamine	0	Amine	Omar	10975	2	1	1
bhaplin	0	Aplin	Breeana	10974	1	2	1
fmarabi	0	Arabi	Farhan	10975	1	1	1
carabian	1423124	Arabian	Christine	10975	2	1	1
farboled	0	Arboleda	Francisco	10975	1	2	1
saarce	1352096	Arce	Sydney	10973	2	1	1
dsarshad	0	Arshad	Danish	10973	2	1	2
amartani	0	Artani	Aysha	10975	2	2	2
jrascenc	0	Ascencio	Jennifer	10975	1	1	2
bsascenc	1517972	Ascencio-Arizabalo	Bruno	10975	2	2	1
jlastrai	0	Astrain	Jose	10975	2	2	2
ymasumu	0	Asumu	Yolanda	10974	2	2	2
layala	1470112	Ayala	Linsey	10973	2	1	1
magha2	0	Ayoub Agha	Maya	10975	2	1	1
krbabel	0	Babel	Kayleen	10973	2	1	2
twbaber	0	Baber	Tyler	10974	2	2	2
naballe2	1581252	Ballesteros	Nicholas	10974	2	2	1
jfbaltaz	0	Baltazar	Jamie	10973	1	2	2
lrbarksd	0	Barksdale	Luke	10973	2	1	1
abarreto	0	Barreto	Amanda	10973	2	1	1
aibarrie	0	Barrientos	Andrea	10973	2	1	1
jbautis6	0	Bautista	Joel	10975	1	1	2
crbeaven	0	Beaven	Charles	10974	2	1	1
jcbeltr2	0	Beltran	Julia	10975	2	1	1
bmberna2	0	Bernard	Briana	10975	2	1	2
babess	0	Bess	Blake	10974	2	1	2
jbhimani	0	Bhimani	Jaazib	10973	1	2	1
mbiczyns	1397868	Biczynski	Marek	10975	1	2	2
jtblair	1427084	Blair	Jonathan	10975	2	1	2
hbblanks	0	Blanks	Haylee	10974	2	1	2
aabohra	0	Bohra	Anoushka	10975	1	2	2
twborder	0	Borders	Thomas	10973	2	2	2
acbridg2	0	Bridges	Alexander	10974	2	1	1
mbbrisbo	0	Brisbois	Madeline	10973	1	2	2
jkbroadd	0	Broaddus	Jakob	10974	2	1	2
ktbrooks	0	Brooks	Kenneth	10975	2	2	1
anbrown9	1441076	Brown	Ashley	10974	1	2	1
lcbrowni	0	Browning	Laura	10973	2	2	1
sabucha2	0	Buchanan	Sarah	10973	2	2	1
kbucker	0	Bucker	Kirby	10973	1	1	2
vbui3	0	Bui	Vinh	10975	2	2	1
icamacho	1480416	Camacho	Isaac	10974	2	2	2
jmcamach	0	Camacho	Jovanna	10975	1	1	2
decanas	0	Canas	David	10973	2	1	1
jccano	0	Cano	Jose	10973	1	1	2
thcao3	0	Cao	Teresa	10973	2	2	2
nmcardon	0	Cardona	Nancy	10975	1	1	1
tjcarr	0	Carr	Taegen	10973	2	2	1
dacarte3	1345404	Carter	Dominique	10974	2	1	2
mecasano	0	Casanova	Miguel	10975	1	1	1
jmcasill	0	Casillas	Jordan	10975	2	1	2
acasti24	0	Castillo	Alejandro	10975	2	2	2
becastil	0	Castillo	Brenda	10974	1	2	1
jacasti9	1640480	Castillo	Jorge	10975	1	2	1
jdcastil	0	Castillo	Joselyn	10975	1	2	1
jecasti2	0	Castillo Herrera	Juan	10973	2	1	2
mccatano	1436012	Catano	Maria	10975	1	2	2
lbcavazo	1475464	Cavazos	Lauren	10973	1	1	2
jcazare4	0	Cazares	Jose	10975	2	2	2
ecenten2	0	Centeno Portilla	Edgar	10973	2	1	1
kychan3	0	Chan	Kwan	10974	1	1	1
lchang7	1518900	Chang	Lianghao	10973	1	1	2
schanna2	0	Channa	Sidrah	10973	2	1	2
mbchapa	0	Chapa	McKenzie	10973	2	2	1
ychaverr	0	Chaverria	Yahaira	10973	1	2	1
cfchides	1571760	Chidester	Conner	10973	2	2	1
nchoudhu	0	Choudhury	Noushin	10974	2	1	1
aichowdh	0	Chowdhury	Anika	10974	2	1	2
kchung4	0	Chung	Kwang Won	10974	1	2	1
eclark2	0	Clark	Eric	10974	2	2	2
jtclayto	0	Clayton	Jonathan	10974	2	2	1
eecloyd	0	Cloyd	Elyse	10973	1	1	1
pjcoale	0	Coale	Patrick	10975	1	1	1
acolema5	0	Coleman	Angela	10974	2	1	1
lmcolem2	0	Coleman	Letonya	10973	1	2	2
slcolem3	1640440	Coleman	Shelby	10975	2	1	2
rpcollin	432481	Collins	Robert	10975	1	2	2
aacollum	1514596	Collum	Austin	10975	1	2	2
dscolon	972524	Colon	Daniel	10973	1	1	2
snconn	1631892	Conn	Sierra	10974	1	1	1
sncoope2	0	Cooper	Sarah	10973	1	1	1
tbcormie	0	Cormier	Timothy	10974	2	2	1
atcornet	0	Cornett	Austin	10974	2	2	1
gecorona	0	Corona	Gustavo	10975	2	2	2
scorrea3	0	Correa	Sharon	10975	2	1	1
rscuetoc	0	Cueto Campos	Randy	10974	2	2	1
gcui	0	Cui	Guangyu	10974	2	2	1
fdasilva	0	Da Silva	Filip	10974	2	1	2
sadaheri	0	Daheri	Sarfaraz	10975	2	2	1
mydaly	1560340	Daly	Marie	10975	1	2	2
jndang3	0	Dang	Judy	10975	1	1	2
rddarrou	0	Darrough	Raymond	10975	1	2	2
odauleh	0	Dauleh	Obada	10974	1	2	1
kldavids	1586992	Davids	Kesha	10973	1	1	2
uadawood	0	Dawood	Umar	10973	1	1	2
ddawson2	0	Dawson	Deione	10975	2	1	1
apdeguzm	1389744	De Guzman	Dre	10975	1	2	2
imdelacr	0	De La Cruz	Isaiah	10975	1	1	2
mldelaga	0	De La Garza	Mireya	10973	1	2	1
svalle	0	de Leon	Sabrina	10975	1	1	1
cldede	0	Dede	Chemise	10973	1	1	2
jldefore	0	DeForest	Johnny	10975	2	1	1
ksdeguti	0	Degutis	Kori	10975	2	2	1
ncdelacr	0	Dela Cruz	Nicholas Edu	10975	1	2	2
vadeleon	1504524	Deleon	Victoria	10973	2	1	2
jfdelgad	0	Delgado-Nava	Jadelyn	10973	2	2	2
akdevine	0	Devine	Alex	10974	2	1	2
hrdevine	1425472	Devine	Haylie	10974	2	1	1
icdibia	0	Dibia	Isidore	10975	2	1	1
bdieden	0	Dieden	Bradley	10974	1	1	2
addies	0	Dies	Austin	10974	2	2	2
rdiggs	0	Diggs	Shad	10974	1	1	2
htdinh5	0	Dinh	Hung	10975	2	1	2
radistin	0	Distinguin	Ruben	10974	1	2	2
mqdo4	0	Do	Matthew	10975	2	1	1
mdoctor	0	Doctor	Mustafa	10974	2	2	2
kgehrke	0	Dodd	Kayla	10974	2	1	1
tdong2	0	Dong	Tommy	10974	1	1	2
mjdougha	0	Dougharty	Mitchell	10975	2	2	2
amdungen	0	Dungen	Austyn	10975	2	2	1
hqduong	0	Duong	Hung	10974	1	2	2
taduplan	0	Duplantis	Thomas	10974	2	1	2
maduran2	0	Duran	Miguel	10973	1	2	2
cnduru	0	Duru	Chuka	10974	2	1	2
avdworni	1507388	Dwornik	Anna	10975	1	2	2
jdealey	0	Ealey	Jaylon	10973	1	2	1
ntedemat	1429732	Edematie	Nello	10974	1	2	2
smedwar3	0	Edward	Shanali	10973	2	2	2
aedward7	0	Edwards	Ashton	10973	2	2	1
hkedward	0	Edwards	Hunter	10973	1	1	1
saelloub	0	El-Loubani	Sara	10974	2	2	2
nelasfo2	0	Elasfouri	Nabil	10974	1	1	2
dlelizal	1196440	Elizalde	Diana	10975	1	1	2
alellis	0	Ellis	Andrew	10975	1	2	1
helmasri	0	Elmasri	Hassan	10973	1	2	1
krepting	0	Epting	Kayla	10974	1	1	2
blerdman	0	Erdman	Brandon	10975	1	2	1
iescami2	1475136	Escamilla	Isabel	10973	1	2	1
ysescoba	0	Escobar	Yvonne	10975	1	2	1
jlespin2	0	Espinosa	Justin	10973	1	2	2
paesteve	0	Esteves	Pedro	10975	2	2	1
eaestrad	0	Estrada	Elias	10974	2	1	2
lnetzel	0	Etzel	Landon	10973	2	2	2
rceuceda	0	Euceda	Roberto	10973	2	1	2
emeyvazi	0	Eyvazian	Emma	10974	2	2	1
safaircl	0	Fairclough	Sheldon	10973	1	2	1
amfalcon	0	Falcon	Austin	10974	1	1	1
prfane	0	Fane	Peyton	10973	1	2	2
rfarihah	0	Farihah	Rafa	10975	2	2	2
mnferrei	0	Ferreira	Madison	10974	1	1	2
edflore3	0	Flores	Emilce	10975	2	1	1
jaflor36	1533900	Flores	Juan	10973	2	2	2
mmflore6	0	Flores	Maritza	10975	2	2	1
esfonsec	0	Fonseca	Elyse	10974	2	1	2
lgmunoz2	0	Fortoul	Lizbeth	10975	1	1	1
bmfranci	0	Francis	Braxton	10973	1	2	2
afreire	1247200	Freire	Ariana	10975	1	1	1
cafreyre	0	Freyre	Christian	10975	2	1	2
rnfuente	0	Fuentes	Reyes	10973	2	2	1
amgabbar	0	Gabbard	Lex	10974	1	2	1
mgaleano	1549920	Galeano	Mario	10973	2	1	1
acgambl2	0	Gamble	Alton	10973	2	2	2
agamez5	0	Gamez	Ashley	10974	2	2	1
klgaona	0	Gaona	Karina	10974	1	1	1
aigarci3	0	Garcia	Anasofia	10974	1	1	2
pgarci20	0	Garcia	Pamela	10973	2	1	2
jegarc24	0	Garcia Fernandez	Jesus	10975	1	2	1
agarza64	1547976	Garza	Armando	10973	1	1	2
sjgates2	0	Gates	Shirley	10975	1	2	1
sgawlik	0	Gawlik	Savannah	10975	1	2	2
rgebrema	0	Gebremariam	Ruth	10975	1	2	1
tkgeorge	1465244	George	Tiffany	10975	1	2	2
jpgeorg2	0	Georges	John	10975	2	2	1
fghayour	0	Ghayour	Fatma	10975	2	2	1
spgiffor	1622860	Gifford	Sarah	10973	1	1	1
zgil	0	Gil	Zeydy	10975	2	1	1
aegomez6	0	Gomez	Albert	10974	1	1	1
adgonza8	0	Gonzales	Alejandro	10974	1	1	2
agonz218	1397980	Gonzalez	Araceli	10974	2	1	2
bygonzal	1460180	Gonzalez	Bronthie	10975	2	2	2
jjgonz25	0	Gonzalez	Jassiel	10975	1	2	1
ajgracia	0	Gracia	Adolfo	10973	2	1	2
kmgrave2	0	Graves	Kathryne	10974	2	1	1
mgrimal3	0	Grimaldo	Melissa	10973	1	1	1
tgroom	0	Groom	Thomas	10974	1	1	1
dkguerra	0	Guerra	Demarie	10973	2	1	1
fguevara	1335456	Guevara	Francisco	10974	2	1	2
gbguifar	0	Guifarro	Genesis	10974	1	2	1
lgurrola	1541964	Gurrola	Luis	10973	1	1	1
dgutie28	0	Gutierrez Graterol	Daniela	10975	2	2	1
kgutier7	1521396	Gutierrez Silva	Karen	10975	2	1	2
aguzma24	0	Guzman	Amanda	10974	2	2	2
xaguzman	1456780	Guzman	Xavier	10973	1	1	2
jbha	0	Ha	Jennifer	10973	2	2	2
efhacket	1375908	Hackett	Ethan	10975	1	1	1
ashajkha	0	Haj-Khalil	Aseel	10973	1	1	1
dhall5	0	Hall	Dara	10973	2	1	2
dchall2	1574100	Hall	De Jeanne	10973	2	2	1
dshamdi	0	Hamdi	Dalila	10973	1	1	1
nhameed	0	Hameed	Natasha	10974	1	1	1
mhampton	0	Hampton-Arvie	Myles	10973	2	2	2
mhanks2	0	Hanks	Mnai	10973	1	1	2
teharri2	0	Harris	Thomas	10975	1	1	2
knhassan	0	Hassan	Kazi	10974	2	1	1
lhauk	943990	Hauk	Liliya	10974	2	2	2
lhe10	0	He	Lei	10974	2	1	2
jheisig	0	Heisig	Joseph	10973	1	2	1
sfheidec	0	Heistad	Savannah	10974	2	1	1
mdhender	0	Henderson	Matthew	10973	2	2	1
crhendr2	0	Hendricks	Colton	10974	2	2	2
dhenry	0	Henry	Dicari	10975	1	2	1
bhern	1556996	Hern	Brooke	10974	1	2	2
jiherna3	1507064	Hernandez	Jailene	10973	1	1	2
jyherna3	0	Hernandez	Jocelyn	10973	1	1	2
mherna67	0	Hernandez	Manuel	10975	2	1	2
meherna7	0	Hernandez	Miguel	10973	1	1	2
mpherna3	0	Hernandez	Monica	10973	1	2	2
mhersi	1325088	Hersi	Musse	10973	2	1	1
hcgordo2	156722	Hester	Heather	10975	1	2	1
nehill2	0	Hill	Nathan	10975	1	2	1
tho15	0	Ho	Thao	10975	1	1	1
ethoang2	0	Hoang	Ethan	10973	1	2	2
jbhoang	1402100	Hoang	Justin	10974	2	1	1
cphoangl	0	Hoang-Le	Calvin	10973	1	2	2
drhoffme	0	Hoffmeyer	Danielle	10975	2	1	1
ehong2	1081088	Hong	Erica	10975	2	2	1
rhou	0	Hou	Ruiying	10975	2	2	1
ehoyos2	1340520	Hoyos	Erick	10975	1	1	1
jrhughe2	0	Hughes	Jeremy	10974	1	1	2
fhunaid	0	Hunaid	Feroz	10975	2	1	1
ejhunter	0	Hunter	Emerald	10975	2	1	1
ahussa24	0	Hussain	Ali	10974	2	1	1
jlhutto	0	Hutto	Justin	10974	1	2	1
lchuynh	1477124	Huynh	Lydia	10973	2	1	2
sehuynh	0	Huynh	Sophie	10973	2	1	2
vhhuynh	0	Huynh	Van	10975	1	2	1
shwang3	0	Hwang	Sara	10974	1	2	1
ajhymes	1537656	Hymes	Alexander	10975	1	1	1
siibrahi	1458352	Ibrahim	Shifa	10973	2	1	1
okigene	1428752	Igene	Odigie	10974	2	1	1
wimouhdi	0	Imouhdine	Walid	10973	2	2	1
mimran5	0	Imran	Marium	10975	2	1	2
abishwai	0	Ishwait	Ahmed	10975	1	2	1
oismaeel	1646028	Ismaeel	Omar	10974	2	2	2
kmjacks5	0	Jackson	Kylie	10974	2	2	1
anjamal	1513800	Jamal	Adnaan	10975	1	2	2
aejarami	0	Jaramillo	Ana	10973	2	1	1
kjjesion	0	Jesionowski	Kyle	10973	1	1	2
yjiang35	0	Jiang	Ye	10974	1	2	1
rjohns22	1544320	Johnson	Randall	10974	1	1	2
jfjones2	0	Jones	Justin	10974	2	2	1
rjones50	0085950_stu	Jones	Robert	10973	2	1	1
sajones3	0	Jones	Sarah	10974	1	2	2
trjones7	0	Jones	Timothy	10973	1	2	1
lajordan	0	Jordan	Laylah	10974	1	2	1
abjoseph	0	Joseph	Acsah	10974	1	2	1
cjung	0	Jung	Chae Woon	10974	1	2	1
kkalinec	0	Kalinec	Katherine	10973	1	1	2
skamenja	0	Kamenjasevic	Sinisa	10973	1	2	2
okaplan	0	Kaplan	Osama	10973	1	1	2
akapoor2	0	Kapoor	Anujay	10973	2	2	2
jakarche	1432428	Karcher	Jacob	10974	1	1	2
sdkay	0	Kay	Sam	10975	2	1	1
makazia	0	Kazia	Maysarah	10973	2	2	2
kmkazmie	0	Kazmierczak	Kelly	10974	1	2	2
jrkelle4	0	Kelley	John	10973	1	2	2
fbkhan2	0	Khan	Farwa	10975	1	1	1
kkhan7	0	Khan	Kinza	10975	2	1	1
sakhan29	0	Khan	Saira	10973	2	2	1
szkhan2	0	Khan	Shahreyar	10974	1	1	2
skhor	1544716	Khor	Su Wern	10974	2	1	2
jrkilson	0	Kilson	Jennifer	10975	1	2	2
sfkirani	0	Kirani	Suha	10974	1	2	2
slknoxgo	0	Knox-Goode	Sara	10974	1	2	1
kkuo2	0	Kuo	Kalai	10974	1	1	2
hglacayo	1469168	Lacayo	Humberto	10975	2	2	2
claluale	1423868	Lalu Alex	Ciya	10975	1	1	1
vslam	0	Lam	Van	10973	1	1	1
elandav2	0	Landaverde-Molinero	Erica	10973	1	1	2
iclarama	0	Lara-Martinez	Isabel	10973	1	2	1
mlawren2	1499532	Lawrence	Majestic	10974	2	1	1
talawren	0	Lawrence	Trinity	10973	1	2	1
gwlaws	0	Laws	Greg	10973	2	2	2
celazaro	0	Lazaro	Celina	10973	1	2	1
hhle20	0	Le	Hanna	10973	1	1	2
mhle9	0	Le	Mai	10975	1	2	1
nle17	1484508	Le	Ngoc	10973	2	2	2
jlleal3	0	Leal	Jose	10975	2	2	2
mledgerw	0	Ledgerwood	Michael	10973	2	1	2
clee47	0	Lee	Christine	10973	1	2	1
smlee5	1508376	Lee	Sang	10974	1	2	2
ktleova	0	Leova	Kristina	10974	2	2	1
kleung5	0	Leung	Kwun Yuen	10975	2	2	2
cli34	0	Li	Chenlin	10974	1	1	2
cli5	1601580	Li	Chenmin	10974	2	1	2
mwlindle	0	Lindley	Mitchell	10973	2	2	1
eclingo	0	Lingo	Easton	10975	2	2	1
adlish2	0	Lish	Adrian	10973	2	2	2
allix	0	Lix	Ashlynn	10974	2	2	1
felobome	0	Lobo Melgar	Francis	10974	2	2	2
jmlohse	0	Lohse	Julia	10974	2	1	1
nllopez	0	Lopez	Natalio	10973	2	2	1
rlopez28	0	Lopez	Robert	10974	1	1	2
klou	0	Lou	Kaixin	10974	2	2	1
jalozan3	0	Lozano	Jose	10975	2	1	2
jclu3	1319600	Lu	Jonathan	10974	2	1	2
sflucero	0	Lucero	Santiago	10974	1	2	1
atluu	0	Luu	Anh	10974	1	2	2
kkluu2	0	Luu	Kathleen	10975	1	2	1
sluu3	0	Luu	Sandi	10974	2	1	2
blyons2	0	Lyons	Ben	10974	2	2	2
scmachad	0	Machado	Sulma	10975	1	1	1
kamacias	0	Macias	Karin	10975	2	2	1
amacknoj	0	Macknojia	Ali Asad	10974	2	2	2
lmadani2	0	Madani	Lida	10973	1	2	1
amadhani	0	Madhani	Amin	10975	2	1	2
mjmadri2	0	Madrid	Maria	10974	2	1	1
abmahabi	0	Mahabir	Arianna	10973	1	1	2
szmahmoo	0	Mahmood	Sahar	10974	2	2	1
amajeed2	1463868	Majeed	Abdul	10974	1	2	1
asmared2	0	Maredia	Amaan	10974	1	2	2
sfmaredi	1525344	Maredia	Saif	10973	2	1	1
emarin3	0	Marin	Erika	10975	1	2	2
fmariner	0	Marinero	Frank	10973	1	1	1
vmarrufo	0	Marrufo	Vanessa	10975	1	2	2
oymarti2	0	Martinez	Oswald	10975	2	2	1
emarti73	0	Martinez Huerta	Elena	10973	2	2	1
cvmateck	0	Matecki	Cody	10975	1	2	1
cmathew3	0	Mathew	Calwin	10974	2	1	2
nmathew6	0	Mathew	Neha	10974	2	2	2
jemazina	0	Mazina	Jennifer	10974	1	1	2
wdmcalli	1628484	McAllister	William	10974	2	1	2
cpmcclel	1379844	McClellan	Claire	10974	2	2	2
tmmcclur	1275636	Mcclure	Tyra	10974	2	1	2
cbmcnabb	1620376	McNabb	Carrigean	10973	2	1	2
nmedanic	1527256	Medanic	Nicole	10975	1	2	2
smmehrab	0	Mehrabadi	Sean	10974	1	2	2
smehta7	0	Mehta	Sohit	10975	1	1	1
dmejia2	1567444	Mejia	Daniela	10973	1	2	1
lmendez4	0	Mendez	Llychel	10975	1	2	2
jjmendo2	0	Mendoza	Juan	10975	1	1	2
jmendo31	0	Mendoza Martinez	Jennifer	10974	1	1	1
sdmiano	0	Miano	Sydnee	10975	2	2	2
aemikahi	0	Mikahiel	Alivia	10973	1	2	1
jamikhay	0	Mikhaylov	Jessica	10973	2	2	2
cjmille8	0	Miller	Cameron	10973	1	2	2
mamirel2	0	Mireles	Melissa	10973	2	2	1
lmoaty	1434644	Moaty	Lara	10973	1	1	1
aamodi2	0	Modi	Aiman	10973	1	2	2
aamoham6	0	Mohammad	Anam	10973	2	2	1
amoham43	0	Mohammad	Asma	10975	1	1	1
hmmoham2	1455320	Mohammed	Hasanain	10974	1	1	2
ymoharer	0	Moharer-Sanaei	Yashar	10975	2	1	2
mmoji	0	Moji-Lugo	Michelle	10973	2	2	2
aiqbal4	0	Momin	Alishan	10973	2	1	1
hmmomin	1464204	Momin	Heena	10973	2	1	2
hmomin4	0	Momin	Hoorain	10974	2	2	1
rnmomin2	0	Momin	Raheena	10973	1	2	1
ssmomi23	0	Momin	Salman	10974	2	2	1
znmomin	0	Momin	Zain	10974	2	1	2
amoral30	1585232	Morales	Aaron	10975	1	2	1
camoral2	0	Morales	Carlos	10973	1	1	1
eamoren7	0	Moreno	Eli	10974	2	1	1
emoren30	0	Moreno	Elsy	10975	2	2	1
nmoreno2	1641692	Moreno	Noemi	10975	2	2	2
bgmosby	0	Mosby	Brianna	10973	2	1	2
krmozafa	0	Mozafari	Kesia	10973	1	1	2
ssmubara	0	Mubarak	Syeda	10975	1	2	2
fmuhtash	0	Muhtashim	Fnu	10975	2	1	2
bkmwali	0	Mwali Kalwahali	Benita	10975	2	2	2
unadeem	0	Nadeem	Usman	10975	1	2	1
mqnash	0	Nash	Moniqua	10973	1	1	1
nnayeri4	1518312	Nayeri	Nima	10973	2	2	1
jndimele	0	Ndimele	Justice	10975	2	2	2
mtnegret	0	Negrete	Maria	10973	2	2	2
enepomuc	0	Neponuceno	Elizabeth	10975	1	2	1
sngo6	0	Ngo	Sang	10974	2	2	2
vhngo2	0	Ngo	Viet	10975	2	2	1
ctngu200	0	Nguyen	Chau	10975	1	1	1
dnguye68	1292828	Nguyen	Darton	10974	2	2	2
eknguye4	0	Nguyen	Eric	10974	1	2	1
pvnguy23	0	Nguyen	Happi	10973	2	1	1
ntnguy80	0	Nguyen	Jonathan Nhan	10974	2	1	2
kmnguy27	0	Nguyen	Katherine	10975	1	1	2
lpnguy35	0	Nguyen	Laura	10973	1	2	1
mpnguy22	0	Nguyen	My	10975	1	1	2
nhnguy44	0	Nguyen	Nguyen	10975	2	2	2
ntnguy29	0	Nguyen	Nhi	10974	1	2	1
nanguye4	0	Nguyen	Nhu Hoang	10974	1	1	2
ntnguy96	1530476	Nguyen	Nini	10973	1	2	2
olnguyen	1643412	Nguyen	Oanh	10975	1	1	1
ppnguye9	0	Nguyen	Philip-Khoi	10974	1	1	2
tanguy45	0	Nguyen	Terry	10975	1	2	1
tnguy246	0	Nguyen	Toan	10975	2	1	2
lnguye66	1495748	Nguyen	Tracy	10974	1	2	1
tmnguy62	1380768	Nguyen	Tri	10974	1	2	2
uhnguye5	0	Nguyen	Uyen	10974	1	1	1
bcnioupi	0	Nioupin	Bryan	10974	1	2	2
nnoguera	1524828	Noguera Duque	Nicolas	10975	2	2	1
rnowrouz	0	Nowrouzi	Rawmin	10973	2	2	1
canwakan	0	Nwakanobi	Chidinma	10974	1	1	2
coneal	0	O Neal	Caitlin	10975	2	2	1
sbomran	0	Omran	Shady	10975	1	1	1
caorcutt	0	Orcutt	Clayton	10974	1	2	2
aorganis	0	Organista	Adan	10975	1	2	2
kboverto	0	Overton	Kaila	10975	1	1	1
apalic	1432556	Palic	Ajla	10974	2	2	2
dpan3	0	Pan	Debbie	10974	1	1	2
blparke3	1648984	Parker	Brittney	10975	1	2	1
vvpatel5	0	Patel	Vivek	10974	2	1	1
epatella	0	Patella	Emily	10975	1	1	1
srpaulse	0	Paulsen	Sterling	10975	2	1	2
cpayne3	0	Payne	Colton	10975	2	2	2
twpeese	1531444	Peese	Tyler	10975	2	1	1
ampentla	0	Pentland	Anne	10974	1	2	2
saperedo	0	Peredo	Sofia	10973	2	1	2
jperez49	1531400	Perez	Jazmin	10973	2	1	1
ajperki2	0	Perkins	Ashli	10973	1	1	1
meperla	1565824	Perla	Mario	10975	1	2	2
teperry2	0	Perry	Tyler	10974	1	2	2
kepeter2	0	Peterson	Kellie	10975	2	2	1
lpeterso	0	Peterson	Luke	10975	2	2	1
spham6	0	Pham	Stephanie	10973	2	1	1
aphan8	0	Phan	Anh	10973	2	2	1
nnphan2	0	Phan	Ngoc	10975	1	1	1
hlpicket	0	Pickett	Holly	10975	2	2	2
mcpiejko	0	Piejko	Michael	10973	1	2	2
kmpilon	0	Pilon	Korey	10973	2	2	1
ipineda	0	Pineda	Ivan	10975	2	2	1
wapolani	0	Polani	Wali	10975	2	2	1
adpolloc	0	Pollock	Andy	10973	1	2	1
aportill	0	Portillo Solis	Andrea	10975	1	1	2
cmpoulse	0	Poulsen	Christina	10974	2	2	2
jhpowell	0	Powell	Jordon	10974	1	1	1
jbprice2	0	Price	Jason	10973	1	2	1
jprok	0	Prok	Jeremy	10973	1	2	2
fupurali	0	Puraliyil	Firdhous	10974	2	2	1
sapurcel	0	Purcell	Shaneil	10975	2	1	1
mlquach	0	Quach	Meghan	10974	1	1	1
soquenan	0	Quenan	Shane	10975	1	1	1
pquilter	0	Quilter	Paulette	10975	1	1	2
inrafi	0	Rafi	Ishtiaq Alam	10974	2	2	1
marahma7	1424848	Rahman	Abrar	10975	2	1	1
trahman5	1418588	Rahman	Tasnim	10975	2	2	1
adramir4	1516952	Ramirez	Alejandro	10973	1	1	1
aramir50	0	Ramirez	Anamaria	10973	2	1	1
mramir46	1522704	Ramirez	Mariela	10973	2	2	1
aramos31	0	Ramos	Andres	10973	2	2	2
larangel	0	Rangel	Lizbeth	10973	2	1	1
zrashid5	1541464	Rashid	Zainab	10974	2	2	1
srasooli	0	Rasooli	Shina	10975	1	2	1
nraveen2	0	Raveendran	Nishvanthi	10974	1	2	1
ecraybon	1293880	Raybon	Erik	10975	1	1	1
jcrayo	0	Rayo	Juan	10973	2	1	2
odresend	0	Resendiz	Oscar	10975	1	1	2
careyes7	360212	Reyes	Christopher	10975	2	2	2
nyreyes	0	Reyes	Nubia	10974	1	1	2
areyna25	0	Reyna	Alex	10974	2	1	2
ccriojas	0	Riojas	Casandra	10973	1	1	2
emrios	0	Rios	Elda	10975	1	1	2
avrioslo	0	Rios Lobo	Ariana	10974	1	2	1
rarivas	0	Rivas	Richard	10974	1	2	1
jiriver2	0	Rivera	Jaime	10974	1	2	1
smriver3	0	Rivera	Sadam	10973	1	1	2
clrober5	0	Roberts	Christina	10973	2	2	2
yerobles	1258452	Robles	Yahaira	10975	2	1	1
airocha	0	Rocha	Alexandra	10974	1	2	2
amrodr35	0	Rodriguez	Alix	10975	2	2	2
carodr39	0	Rodriguez	Christie	10973	1	1	2
jrodri78	0	Rodriguez	John	10973	1	2	1
knrodri2	0	Rodriguez	Kristeen	10975	2	2	1
rrodri71	0	Rodriguez	Rubyann	10973	2	1	2
srodri20	0	Rodriguez	Stephanie	10975	1	1	1
hprodrig	1515616	Rodriguez Garza	Hilda	10974	1	1	1
mrodri82	0	Rodriguez Reyes	Maricruz	10973	1	1	1
arodri87	1410116	Rodriguezcaballero	Alex	10975	2	1	2
goromald	0	Romaldo	German	10974	1	1	1
aromero5	0	Romero	Alexis	10975	2	1	2
mlromo	1452500	Romo	Monica	10975	1	2	1
fcrosale	1443560	Rosales-Ruiz	Francis	10974	1	1	1
eruiz24	0	Ruiz	Edward	10973	2	1	2
fruiz4	0	Ruiz	Francisco	10974	1	1	1
gsaavedr	0	Saavedra	Gabriela	10974	2	2	2
sssadrud	1428632	Sadruddin	Salmina	10974	2	2	2
kasaeed2	0	Saeed	Kaled	10974	2	2	1
gdsalamo	1441708	Salamonovitz	Giovanna	10973	2	2	2
asalas3	0	Salas	Andres	10975	1	2	1
lfsalaza	0	Salazar	Luis	10975	1	2	2
asalgad8	1338004	Salgado	Anthony	10974	1	1	2
rsalgado	0	Salgado	Ronaldo	10973	1	2	2
jsalin23	1573640	Salinas	Jose	10975	1	1	1
ksampath	0	Sampath-Kumar	Krishmitha	10973	2	1	2
dsantand	1493336	Santander	Alex	10975	1	2	1
bjsarahs	0	Sarahs	Brandon	10974	1	2	2
mwsaunde	0	Saunders	Michael	10975	2	2	1
blschafe	0	Schafer	Brittney	10974	1	1	1
hmscharf	1494664	Scharf	Hunter	10973	1	2	2
jtscott2	0	Scott	Jacob	10973	1	2	2
jlscott5	1060544	Scott	Jordan	10974	2	1	1
sescott5	0	Scott	Sam	10973	2	2	1
jsegovi2	1353276	Segovia	Jocelyne	10975	2	2	1
maserra2	0	Serrano	Miguel	10973	1	1	2
ajshah3	0	Shah	Avi	10973	2	2	1
hnshah	0	Shah	Harsh	10974	1	2	1
sshah24	0	Shah	Shanzeh	10974	1	2	2
mshahid2	0	Shahid	Manal	10973	2	1	2
mshahza3	0	Shahzad	Mehzabeen	10974	2	1	2
lsharple	0	Sharpless	Lindsey	10973	1	2	2
tashedri	0	Shedrick	Trey	10975	2	1	1
rashepp3	0	Sheppard	Robert	10975	1	1	2
kshiwan2	0	Shiwani	Komal	10975	1	2	1
mshoaib	0	Shoaib	Mahnoor	10974	2	2	2
sshow	0	Show	Sara	10975	2	2	1
jsibitas	1464052	Sibita Sijolari	Joaquina	10974	2	2	2
dsilva20	1627340	Silva	Daniel	10975	2	2	2
tasimien	0	Simien	Trasee	10974	1	2	1
nsipps	1304020	Sipps	Nicole	10975	2	2	1
asmith27	0	Smith	Alexis	10974	2	1	2
cssmith8	0	Smith	Christopher	10973	2	2	2
ssondhi	0	Sondhi	Shawn	10975	1	1	1
dasorto	0	Sorto	Doris	10973	1	1	2
nsorto	0	Sorto	Natali	10974	2	2	1
asoto21	0	Soto	Alejandra	10973	1	2	1
basouman	0	Souman	Baraa	10973	2	1	2
ctspenc2	0	Spencer	Caleb	10975	1	2	2
tsrivast	0	Srivastava	Tanisha	10973	1	2	2
jstone	0	Stone	Joshua	10973	2	2	2
jwsturte	0	Sturtevant	Jackson	10974	1	1	1
psukho	1328216	Sukho	Paras	10975	1	1	2
sjsunesa	0	Sunesara	Saniff	10973	1	2	1
lasuter	0	Suter	Lois	10975	1	2	2
cmsvartz	1511692	Svartz	Caelan	10973	2	1	2
daswallo	0	Swallows	Dulce	10974	2	2	2
ccsweeck	1640428	Sweeck	Cassandra	10975	1	1	2
nnszyman	1518064	Szymanski	Norbert	10974	1	1	2
apta2	0	Ta	Anh	10974	1	2	2
bta3	0	Ta	Brendy	10973	2	2	1
sdtagbor	0	Tagbor Morales	Selorm	10974	2	2	2
wtam3	0	Tam	William	10973	2	2	1
amtanbou	0	Tanbouz	Abeer	10975	2	2	1
rstang	0	Tang	Ruben	10975	2	2	1
vhtang	0	Tang	Vicky	10973	1	1	2
mtao2	0	Tao	Madeleine	10973	2	1	1
mtapia3	1402032	Tapia	Magaly	10974	2	1	1
nstariqu	0	Tarique	Nabeel	10975	1	2	2
ttellez	0	Tellez	Tiffany	10974	2	2	1
kdterrie	0	Terrier	Kobe	10973	2	1	1
zlteykl	1603208	Teykl	Zachary	10974	1	1	1
atheungt	0	Theungthiraj	Austin	10973	1	2	2
jbthoma4	1439036	Thomas	Jerin	10973	1	1	1
lrthomp4	0	Thompson	Leeann	10975	1	2	2
ttian2	0	Tian	Ting	10974	1	2	2
stieu	0	Tieu	Simon	10973	2	1	2
hmtodd	1553532	Todd	Hayden	10973	1	1	1
atodnem	1047446	Todnem	Adam	10974	2	1	2
jtoledo4	1513812	Toledo	Janely	10973	2	1	1
bctom	0	Tom	Bianca	10975	1	1	2
jltorre3	1249492	Torres	Julie	10975	1	2	2
altovar	0	Tovar	Amy	10974	2	2	1
ktovar	0	Tovar	Kimberly	10975	1	2	2
vtovar	1466692	Tovar	Valeria	10973	2	2	1
adtran22	0	Tran	Anh	10975	1	1	2
cmtran9	1427304	Tran	Cassie	10974	2	1	2
cltran3	0	Tran	Christine	10975	2	2	2
cltran2	0	Tran	Christine	10974	2	2	2
ddtran21	0	Tran	Dylan	10973	2	1	2
hntran24	0	Tran	Ha	10975	2	2	1
jtran57	0	Tran	Jenny	10975	2	2	2
jqtran8	1597076	Tran	Jimmy	10973	2	1	2
jtran46	0	Tran	Julie	10974	1	2	1
nqtran5	0	Tran	Nicole	10974	2	2	2
pttran28	0	Tran	Phuoc	10975	2	2	1
phtran9	0	Tran	Phuong	10975	2	2	1
sttran7	1535488	Tran	Son	10973	2	1	1
tntran38	0	Tran	Tran	10974	1	1	1
mltraylo	0	Traylor	Meckenzi	10974	2	1	1
cmtrevi2	0	Trevino	Clarissa	10974	2	2	1
jatrevi6	1297764	Trevino	Jose	10975	1	2	1
thtruon4	0	Truong	Mimi	10974	2	2	1
rtruong	1348212	Truong	Robert	10974	2	1	1
ttsegai	1259652	Tsegai	Tomas	10973	1	1	2
ktu4	1478268	Tu	Kevin	10973	2	1	2
kltudor	0	Tudor	Katie	10975	1	1	1
mmtuller	0	Tuller	Madison	10974	2	2	1
lptunsta	0	Tunstall	Lane	10973	2	2	1
cwturner	1535412	Turner	Christopher	10975	2	2	2
auddin5	1649728	Uddin	Abad	10975	1	1	1
iuddin	0	Uddin	Imaad	10973	2	1	2
supadhy3	0	Upadhyay	Swosti	10973	1	2	1
jvuribe	0	Uribe	Jennifer	10974	1	1	2
jsuzziel	0	Uzziel	Jamaal	10974	2	1	2
npvaidya	1516028	Vaidya	Nehal	10974	2	1	2
jvalade2	1300060	Valadez	Jocelyn	10975	1	2	2
jevalde3	0	Valdez	Jonathan	10975	1	2	2
bmvaler2	0	Valerio	Bianca	10973	1	1	1
crvance	0	Vance	Charles	10974	1	2	2
cgvander	0	Vanderharst	Courtney	10974	1	2	1
bnvannoy	1415252	Vannoy	Brooke	10974	1	1	1
lcvazque	0	Vazquez	Lucinea	10974	2	1	1
gjvelasq	0	Velasquez	Gabriela	10975	1	1	1
jvelasq6	0	Velasquez	Jocelyn	10974	2	1	2
oevelazq	1593776	Velazquez	Oscar	10974	2	2	1
jventur4	0	Ventura Arevalo	Jasmin	10975	2	1	2
avigil2	0	Vigil	Alan	10973	2	1	1
davillal	0	Villalta	Daisy	10973	1	1	2
davilla4	0	Villarreal	David	10974	1	2	2
aviqar	0	Viqar	Areeba	10974	1	1	2
hzviran2	0	Virani	Haris	10975	1	1	2
kvogiatz	0	Vogiatzis	Konstantinos	10973	1	1	1
pjvolpe	0	Volpe	Peter	10974	2	2	2
kwalton	0	Walton	Kailey	10973	1	1	1
jwang84	1378536	Wang	Jingxian	10975	2	2	2
swang52	0	Wang	Siyu	10973	1	1	1
twang36	1455772	Wang	Tiansu	10975	1	1	2
dawaters	0	Waters	David	10973	1	2	2
shwebste	1504916	Webster	Simon	10973	2	2	2
bwillia9	0	Williams	Brittney	10974	2	2	2
gawilli6	0	Willis	Grant	10973	1	1	2
rawilso4	1495736	Wilson	Regan	10974	2	1	2
kmyamagu	1137908	Yamaguchi	Kelvin	10973	2	2	2
lyonas	1503020	Yonas	Lewi	10973	1	1	1
hyounus	0	Younus	Hatim	10974	1	2	1
kzander	1500940	Zander	Kyle	10974	1	1	2
dhzarago	1547140	Zaragoza Ribera	Diego	10975	2	2	2
mzavala5	0	Zavala	Melissa	10973	2	2	1
rrzavale	0	Zavaleta	Roberto	10973	1	2	2
sxzhang	0	Zhang	Sherry	10973	1	2	1
hzhou20	0	Zhou	Haochen	10974	1	1	2
jzhou26	1311792	Zhou	Jiaxi	10975	2	2	1
yzhou47	1503268	Zhou	Yunjia	10973	1	2	2
mrzwahr	0	Zwahr	Molly	10973	1	1	1
oabaei	0	Abaei	Omid	19406	2	2	1
aabudula	0	Abudula	Aifeina	19406	1	2	2
jaackerm	0	Ackerman	Jared	19406	1	2	1
mqahmed	0	Ahmed	Qavi	17672	2	1	1
ssahme20	0	Ahmed	Syed	17672	2	2	1
ghalbuka	0	Albukari	Ghamdan	19406	2	2	1
saldaco	1346812	Aldaco	Servando	19406	2	2	2
jralegar	929826	Alegarbes	Jerick	17672	2	2	1
hali20	0	Ali	Hassan	17672	2	2	1
sali60	0	Ali	Sehar Irfan	19406	2	1	2
swali4	0	Ali	Syed	17672	1	2	2
iallaudd	0	Allauddin	Isbah	17672	2	1	1
raltaf	1591952	Altaf	Ridha	17672	2	1	1
jialvar3	0	Alvarado	Jocelyn	19406	1	1	1
lealvar2	0	Alvarez	Luis	17672	1	1	1
ralvare3	0	Alvarez	Raquel	19406	2	2	2
valvare4	0	Alvarez	Veronica	19406	1	2	2
jvandra2	1337268	Andrade	Jacqueline	17672	1	1	1
narian	0	Arian	Nasim	17672	2	2	1
darif	1644404	Arif	Daniyal	19406	1	2	1
oarredo2	0	Arredondo	Oscar	17672	1	2	1
carregui	0	Arreguin	Cristopher	17672	2	2	1
veavila3	0	Avila	Victoria	17672	1	1	2
bsayala	0	Ayala	Bryan	19406	1	2	2
szaziz	1604428	Aziz	Zoha	17672	1	1	2
cabastan	0	Bastankhah	Cyrus	17672	2	1	1
mbell5	0	Bell	Mustafa	19406	2	2	1
lmbengue	0	Bengue	Lindsey	19406	2	2	1
jabitan2	0	Bitanga	Jose Franco	17672	1	2	1
tjblack2	0	Blackwell	Tyler	17672	2	1	2
lsblanch	0	Blanchfield	Logan	17672	2	2	1
mpbrenna	0	Brennan	Michael	17672	1	2	1
mbull	0	Bull	Morgan	17672	2	1	1
cabulnes	0	Bulnes	Carlos	17672	2	2	2
bjburks2	1512776	Burks	British	19406	2	1	2
alburros	0	Burros	Alexander-O	17672	1	1	1
jcai8	0	Cai	Jerry	17672	2	1	2
lccaita	1574304	Caita	Laura	17672	1	1	2
kcao5	0	Cao	Kristine	17672	1	2	1
mtcao	1601136	Cao	Mai	17672	1	2	2
recardon	1490148	Cardona	Rochell	17672	1	2	1
kcastan4	0	Castaneda	Karla	19406	2	1	2
mchandr2	0	Chandrasekera	Madri	19406	2	2	1
achapa21	0	Chapa	Alejandro	17672	1	1	1
echapa3	0	Chapa	Earle	17672	1	1	2
aschatar	1330440	Chatarpal	Avinash	17672	2	2	2
avchave2	0	Chavez	Alexander	19406	1	2	2
scheema	1437068	Cheema	Sukhnoor	19406	1	2	2
ychen218	1341188	Chen	Yin Zhuo	19406	1	1	2
echeong	0	Cheong	Echuim	19406	2	1	2
tchoudh4	0	Choudhury	Tasnim	19406	2	2	2
klchrist	0	Christian	Karlie	17672	1	2	2
amconnel	0	Connely	Ashton	17672	1	2	1
jcorte20	0	Cortez	Jesse	17672	2	1	2
cacuell2	1513396	Cuellar	Ciro	17672	2	1	2
kccunana	1672728	Cunanan	Kevin	19406	2	2	1
ttcutkel	0	Cutkelvin	Tyra	19406	2	2	1
aadabibi	0	Dabibi	Ayman	17672	2	1	1
badahlma	1397220	Dahlman	Beau	17672	2	1	2
dpdang	0	Dang	Amy	19406	2	2	1
ltdang4	0	Dang	Loc	17672	2	1	1
adanish	0	Danish	Anique	19406	1	1	2
ldecker	1448604	Decker	Lillian	17672	1	1	2
lmdefra2	1666372	Defrancesco	Lucille	17672	1	1	1
bdelavar	0	Delavari	Benyamin	19406	1	2	1
jfdiaz2	0	Diaz	Juan	17672	1	2	1
jwdimmoc	0	Dimmock	Jeremy	19406	2	1	1
mdinh5	0	Dinh	Mai	17672	2	1	1
kdomini	0	Domini	Kevin	19406	1	1	1
cndomini	1536016	Dominic	Charles	17672	1	2	1
gsdrach	0	Drach	Gennadiy	17672	1	2	2
dfdunmor	1458000	Dunmore	Destiny	17672	1	1	2
megan	0	Egan	Matthew	17672	2	1	1
maehrig	0	Ehrig	Mason	17672	1	2	1
aaelkare	0	El kareh	Alexander	17672	2	1	2
krelaoun	0	Elaouni	Karim	17672	2	1	2
uvelegon	0	Elegon	Uyiosa	17672	2	2	1
alelich	0	Elich	Amanda	19406	2	1	1
baesense	1372564	Esensee	Bryan	17672	1	1	1
ejesparz	0	Esparza	Edwardo	19406	2	1	1
aessani	1463204	Essani	Anum	17672	2	1	1
kestrad3	0	Estrada	Kevin	17672	2	2	2
dkezeoke	0	Ezeoke	Duke	17672	2	1	2
tfatima4	0	Fatima	Tazeen	17672	2	1	2
nfmercha	0	fatimah	Narmin	17672	1	2	1
efferrei	0	Ferreira	Elcimar	17672	1	1	2
mtferris	1514804	Ferris	Megan	19406	1	2	1
jcflint2	0	Flint	Justin	17672	1	2	1
jnflores	1440772	Flores	Julian	17672	1	2	1
raflore8	1569832	Flores	Ruby	17672	2	1	2
ajfoerst	0	Foerster	Andrew	19406	2	1	2
gfraire	0	Fraire	Gregory	17672	1	2	2
apfranci	1310180	Francis	Alison	17672	2	1	2
djfrank	1668892	Frank	Daniel	19406	2	2	1
mlfulp	1574344	Fulp	Madison	19406	1	2	1
afumure3	1625664	Fumurescu	Andrei	17672	2	2	1
dgalaz	1400352	Galaz	Diane	17672	2	2	2
jmgalva3	1418572	Galvan	Janina	17672	1	1	2
sgamero	1559028	Gamero	Stefan	17672	2	1	1
agarci97	1517348	Garcia	Armando	17672	2	1	2
btgarci2	0	Garcia	Bryan	19406	1	2	2
cagarc31	1670604	Garcia	Chelsea	17672	1	1	2
rgardner	0	Gardner	Robert	17672	2	1	2
tlgarza2	1664364	Garza	Timothy	19406	2	1	2
mghazal	1558112	Ghazal	Mohanad	19406	1	1	2
rdgilsam	0	Gil Samanez	Raul	17672	2	2	1
adgilber	1245584	Gilbert	Austin	17672	1	1	2
wmgodil	0	Godil	Wardah	17672	1	2	1
ccgonzal	0	Gonzales	Christopher	19406	2	1	1
agonza95	0	Gonzalez	Abraham	19406	2	2	1
magonz53	0	Gonzalez	Mario	19406	2	1	1
jcgoodla	1565328	Goodland	Joseph	19406	2	1	1
smgovani	0	Govani	Shahina	17672	1	2	2
eigranad	0	Granados	Esther	17672	2	1	1
edgreen	0	Green	Ezekiel	19406	2	2	2
zvilla	0	Greenwood	ZieZie	17672	2	2	1
drgrubbs	1482344	Grubbs	Dalton	17672	2	2	2
adguinov	1657488	Guinova	Alice	17672	1	1	2
ephaas	0	Haas	Ethan	17672	2	2	2
sshaidar	1516824	Haidar	Sherine	17672	2	2	1
ohanif	1656988	Hanif	Osama	17672	2	1	1
rahawort	240257	Haworth	Robert	19406	2	1	2
dheavin	0	Heavin	Daniel	19406	1	2	1
lheng	0	Heng	Lada	17672	1	1	2
cahenriq	0	Henriquez	Carlos	17672	2	2	2
ahern204	1331340	Hernandez	Ana	19406	1	1	1
faherna2	0	Hernandez	Frank	17672	2	2	2
bpherrma	0	Herrmann	Brianna	17672	1	2	2
jcherver	1509780	Hervert	Juan	19406	2	1	2
cjherzog	1570876	Herzog	Christopher	17672	1	2	1
wyho	0	Ho	Wing	17672	1	1	2
gphoang2	0	Hoang	Giao	19406	1	2	2
rphollan	0	Holland	Ryan	17672	1	1	1
jlhood3	1623808	Hood	James	17672	1	1	1
amhopper	0	Hopper	Aaron	17672	2	1	1
ikhoulbe	0	Houlberg	Ingrid	19406	1	1	2
bhoyt	0	Hoyt	Bonnie	17672	1	1	2
dhromin	1324408	Hromin	Denis	19406	1	1	1
lthubba2	1652092	Hubbard	Lauren	17672	1	2	1
jhuh2	0	Huh	James	19406	2	2	2
cwhutson	1549716	Hutson	Corey	17672	2	1	2
lhuynh6	0	Huynh	Loc	17672	1	1	2
phuynh4	1653812	Huynh	Philip	19406	1	1	1
qthuynh2	1648276	Huynh	Quy	19406	2	1	1
waigot	0	Igot	Wednesday	19406	2	1	2
mringled	0	Ingledew	Megan	17672	1	2	1
aissa	0	Issa	Alan	19406	2	2	2
agizundu	0	Izundu	Ashley	17672	1	1	1
ccjacks7	0	Jackson	Candice	17672	1	2	1
agjarami	0	Jaramillo	Anjeline	17672	1	2	1
dljenner	0	Jenner	Dominic	19406	1	2	2
tmjennin	1577664	Jennings	Tallon	19406	1	1	1
sujiwani	0	Jiwani	Shumaila	17672	1	1	2
gsjohnso	0	Johnson	Ginnessa	17672	1	2	1
najohns8	0	Johnson	Nicholas	17672	2	1	2
acjungma	0	Jungman	Allison	17672	1	2	2
ajkane	0	Kane	Aaron	17672	1	2	1
egkebed2	1570404	Kebede	Esayas	19406	1	1	1
fakhan23	0	Khan	Furqan	17672	2	1	1
mjkhan6	1603228	Khan	Mohammad Waqui	17672	2	1	2
wlkhan	0	Khan	Waris	19406	2	1	2
zfkhima2	1509696	Khimani	Zohair	19406	2	1	2
iskirana	0	Kirana	Irene	19406	1	2	1
bakorpus	0	Korpus	Brianna	17672	1	1	1
gnkouame	0	Kouame	Gilles Cedric	19406	2	1	1
nlagow	0	Lagow	Nicco	19406	2	2	1
mslam	0	Lam	Michael	17672	1	1	2
nmlam	0	Lam	Ngoc	17672	2	2	2
cglangst	0	Langston	Chad	17672	2	2	1
jlansang	1477196	Lansang	Juleene	17672	1	2	1
wlathan	0	Lathan	William	17672	1	2	1
balau	0	Lau	Blake	17672	1	2	1
ttle64	0	Le	Nguyen	19406	2	2	1
qle5	0	Le	Quan Khac Hoang	19406	2	2	2
smli2	1426772	Li	Shuong	17672	1	1	2
alopez63	0	Lopez	Adan	19406	1	2	2
maluna5	0	Luna	Manny	19406	1	2	2
ntluu	0	Luu	Nhan	17672	1	2	2
agmaakar	0	Maakaroun	Annabelle	19406	1	1	2
lpmacias	1417172	Macias	Leslie	17672	2	1	1
mzmaknoj	1559728	Maknojiya	Mubin	17672	2	1	1
gemancia	0	Mancia	Gloria	17672	2	1	2
lmanduja	0	Mandujano Rivera	Lizbeth	17672	1	2	2
fmarti23	0	Martinez	Fabian	17672	1	1	2
himartin	1655736	Martinez	Helen	17672	2	1	1
gmattick	1311576	Mattick	George	19406	2	1	2
lamattin	0	Mattingly	Laurie	17672	1	2	1
jlmay	0	May	Jaimie	17672	1	1	1
smceachn	0	McEachnie	Sharlicia	17672	2	1	2
mkmckill	0	McKillip	Matthew	19406	1	2	1
tmcmilla	0	Mcmillan	Tristen	19406	1	2	2
kkmeadow	0	Meadows	Kollin	17672	2	1	1
sbmehdi	0	Mehdi	Syed	17672	1	2	2
dmmejia2	0	Mejia	Daniella	17672	1	2	2
pimendez	0	Mendez	Paola	17672	2	1	2
jamickle	0	Mickles	Jeremy	17672	2	2	1
cmminasc	0	Minaschek	Christina	17672	1	1	2
kdmitch2	1178380	Mitchell	Katrina	17672	2	1	1
omohiudd	1439172	Mohiuddin	Omer	17672	1	1	1
elmontel	1347260	Montelongo	Erica	17672	1	2	1
rjmoran3	1409588	Moran	Ross	19406	1	1	2
clmorri5	0	Morris	Caleb	17672	2	2	1
samorri3	0	Morris	Shuntara	17672	2	1	1
jmosque2	0	Mosqueda	Jeanette	17672	1	2	2
ikmower	0	Mower	Ian	17672	1	2	1
ssmuhamm	0	Muhammad	Salman	19406	1	1	1
ssmyers	0	Myers	Shelby	17672	1	1	2
aanavar3	1386992	Navarro	Alberto Andres	17672	1	2	2
bmneal	0	Neal	Brionna	17672	2	1	1
cneptune	0	Neptune	Cory	17672	2	2	2
asngo	0	Ngo	Allan	19406	1	2	2
atngu223	1673692	Nguyen	Ashlie	19406	1	2	2
blnguy20	0	Nguyen	Brianna	17672	2	2	2
dvnguy23	0	Nguyen	Danh	17672	2	1	2
dtngu209	0	Nguyen	Dat	19406	2	1	1
dhnguy53	1444532	Nguyen	David	17672	1	2	1
dtngu204	1457464	Nguyen	Duyen	17672	1	1	2
dvnguy27	1600344	Nguyen	Duyen	19406	2	2	2
ktnguy90	0	Nguyen	Katie	17672	1	1	2
ltnguy75	0	Nguyen	Linh	19406	2	1	1
tnguy237	0	Nguyen	Tony	17672	1	2	1
tnguy257	1668856	Nguyen	Truc	19406	1	2	1
vnguye51	0	Nguyen	Vu	19406	2	2	2
dvnguy30	0	Nguyen	Win	17672	2	2	2
aniazi	1643156	Niazi	Abdul Rahman	19406	1	1	2
ajnivose	0	Nivose	Alex	17672	1	1	1
mnoor4	0	Noor	Meena	19406	2	2	1
kanovak	0	Novak	Kyle	17672	2	1	2
pjnunez	1262780	Nunez	Pablo	17672	2	1	1
oaoliva2	1413396	Olivares Gallegos	Oliver	17672	2	1	2
aoriaku	1668392	Oriaku Amarachi	Nathalie	17672	2	2	1
ahortiz	0	Ortiz	Angelica	19406	1	1	1
dsoshung	0	Oshungbohun	Damilola	17672	2	2	1
msozcan	0	Ozcan	Mahmud	19406	2	2	2
cpaez2	0	Paez	Chelsea	17672	1	1	1
opalazzi	0	Palazzi	Ornella	17672	2	1	1
leparker	0	Parker	Logan	19406	1	2	2
sspate27	0	Patel	Shramik	19406	2	2	2
tspatel2	0	Patel	Tushar	17672	2	1	1
azpaters	0	Paterson-Roberts	Alexander	17672	1	2	1
apedraz6	0	Pedraza	Alberto	17672	2	1	2
jpeng6	1665776	Peng	Jieou	19406	2	2	1
japere31	0	Perez	Juan	17672	2	2	2
avpham5	1517184	Pham	Anthony	17672	2	1	2
hhpham3	0	Pham	Huong	17672	1	2	1
ptpham20	0	Pham	Phat	19406	2	1	2
ttpham64	0	Pham	Tai	19406	1	1	2
lhphan3	1172816	Phan	Linh	19406	1	2	1
bphelps	0	Phelps	Brittany	17672	2	1	2
jphilli4	1424200	Phillips	Justin	19406	1	1	2
kkquach	0	Quach	Kevin	17672	1	1	2
sequeen	0	Queen	Sarah	17672	1	2	2
iramire8	0	Ramirez	Ivan	17672	1	1	1
jarami27	0	Ramirez	Jonathan	19406	1	1	1
arashid9	0	Rashid	Ali	17672	1	2	1
vtreddy	0	Reddy	Vivek	17672	1	2	1
frehan	0	Rehan	Fahad	19406	1	1	2
treid	0	Reid	Tanner	19406	1	2	2
mrico2	0	Rico	Manuel	19406	1	1	1
arios22	0	Rios	Angeles	17672	2	1	1
dmrivers	1643760	Rivers	Derek	17672	2	1	2
nerizzo	1535004	Rizzo	Nicole	17672	2	1	2
nfroa	0	Roa	Nicolas	19406	2	2	1
arobledo	0	Robledo	Alexis	17672	1	1	1
rlrod	0	Rod	Russell	17672	1	2	1
egrodri6	1333792	Rodriguez	Enzo	17672	2	1	2
jsrodr20	1578684	Rodriguez	Justin	17672	2	1	2
kyrodrig	0	Rodriguez	Kati	17672	2	1	2
prodrig3	0	Rodriguez	Paloma	19406	2	2	1
tlrone	0	Rone	Travis	17672	2	2	1
bmsalesi	0	Salesi	Brunello	19406	2	1	2
zesanmig	0	San Miguel	Zarah-Marie	17672	1	2	2
jisanch7	0	Sanchez	Jesus	19406	1	2	2
dhsander	0	Sanders	Daniel	19406	1	1	1
nsarwari	0	Sarwari	Najibullah	17672	1	1	2
jsavage2	839652	Savage	Jessica	17672	1	1	2
jmseaman	0	Seaman	Jessica	17672	2	1	2
mgsegovi	1026826	Segovia	Miguel	17672	2	1	2
rkseunso	0	Seunsom	Rasinie	17672	2	2	2
nashahee	0	Shaheen	Nadia	17672	1	1	2
bshahid	0	Shahid	Bilal	17672	1	1	1
onshahi2	0	Shahin	Othman	19406	2	1	2
atshao	0	Shao	Alexander	17672	2	2	2
msljoka	0	Sljoka	Minela	17672	1	1	1
nismallw	0	Smallwood	Nia	17672	2	2	2
bsolis2	1493756	Solis	Brianna	17672	2	2	1
krstowel	0	Stowell	Krysta	19406	2	2	2
scsu	0	Su	Simon Allen	19406	1	2	1
asurani2	0	Surani	Amaan	19406	2	2	2
jetaffin	1279380	Taffinder	Julio	19406	2	2	1
patafoya	1346752	Tafoya	Patrick	19406	2	2	2
apthomps	0	Thompson	Abbigail	19406	1	1	2
kmthomp6	0	Thompson	Kristin	17672	1	1	1
datinney	0	Tinney	Devin	17672	2	2	2
ktjonakw	0	Tjon A Kwie	Kevin	17672	1	2	2
ajtorre5	1334824	Torres	Anthony	17672	1	1	2
jtorre34	0	Torres	Jasmine	17672	1	2	2
sftorres	0	Torres	Salvador	17672	1	1	2
stran28	1571040	Tran	Sandra	17672	1	2	2
bmtreesh	0	Treesh	Brandon	19406	2	2	2
hmtrinh2	0	Trinh	Hang	17672	1	1	1
ttrinh9	0	Trinh	Thuyen	19406	1	2	1
ttrinh8	1672496	Trinh	Tran	17672	2	2	2
ejumaka	1442360	Umaka	Efe	17672	2	2	2
tmurban	0	Urban	Tammie	17672	1	1	1
aurioste	0	Uriostegui	Altovely	17672	2	2	2
mmvalad	0	Valad	Michael	17672	1	1	1
vvalderr	0	Valderrama	Vanessa	19406	1	1	1
jdvaldez	0	Valdez	Jacqueline	17672	2	1	1
srvargh3	0	Varghese	Sara	19406	1	2	2
mnvenabl	0	Venable	Michael	17672	1	1	1
jmvera2	1367128	Vera	Jessica	17672	2	1	2
mevizzar	0	Vizzari	Marie	19406	1	1	1
nlvu2	0	Vu	Ngan	19406	2	2	1
wmvu	0	Vu	William	17672	1	1	1
nvythoul	0	Vythoulkas	Nikolas	19406	2	2	1
awajahat	0	Wajahat	Alina	17672	1	2	2
tjwalke6	0	Walker	Tyler	19406	2	1	1
mtwaters	0	Waters	Michael	17672	2	1	1
jwatson3	1285692	Watson	Julia	17672	2	1	2
szwelden	1506408	Weldenchel	Samueal	17672	2	2	2
hmallen3	265801	Williams	Heather	17672	2	2	2
jwilli37	0	Williams	Jaylin	17672	2	1	2
cnwillis	0	Willis	Chris	17672	2	2	2
sdwilso6	0	Wilson	Stewart	17672	2	2	2
tawise	0	Wise	Tierra	17672	2	2	1
stwysock	0	Wysocki	Stanley	17672	1	1	1
xxu13	1156640	Xu	Xiaotian	17672	2	2	2
bhzaruba	0	Zaruba	Benjamin	17672	2	2	1
tczastro	0	Zastrow	Trevor	17672	2	1	1
yzhan258	1631124	Zhang	Yufan	19406	1	1	1
hzheng4	0	Zheng	Hongyang	17672	1	2	2
kndenga	0	Ndenga	Kate Mellie	10973	1	2	2
nndenga	0	Ndenga	Nathan	10973	1	1	2

PickLists

booleans

crit_stat

rejection

plusminus

conclusion

Q8-14_Label

Q8-14 Var

Q8-14 Units

Q1-7 Label

Q1-7 Var

Equation 1

Equation 2

Inc/Dec

F crit

Reject

TISETC

miles

mileage

10,000 miles

hours per day

hours watching tv per day

β0

increases

t crit

Fail to Reject

TINSETC

dollars

price

1000 dollars

pounds

pounds overweight

β1

decreases

F stat

miles/dollar

(hours per day)/pound

≤

t stat

dollars/mile

pounds/(hours per day)

≥

≠

VARIABLES

First Name	Gilles Cedric
Last Name	Kouame
Cougernet ID	gnkouame
Peoplesoft ID	0
Section #	19406
Grade
Calculations
Table Output
Enable Grading	FALSE
Data Sheets	UsedCamry
IsGraded	FALSE
TimeBomb	43084
Version
Problem Set	TRUE
Allow Roster Exceptions	FALSE

RESULTS

Total Score	Answers	Output	QQuestion 1	QQuestion 2	QQuestion 3	QQuestion 4	QQuestion 5	QQuestion 6	QQuestion 7A	QQuestion 7B	QQuestion 8	QQuestion 9	QQuestion 10	QQuestion 11	QQuestion 12A	QQuestion 12B	QQuestion 13	QQuestion 14
0	0	0	0	ŷ	0	-28.4364	0	6.5455	0	x	0	pounds overweight	0	hours watching tv per day	0	0	1	0	471.2727	0	471.2727	0	13	0	387.7273	0	29.8252	0	14	0	859	0	0	0.5486	0	0	4.3225	0	pounds/(hours per day)	0	8.7684	0	pounds/(hours per day)	0	0	β1	0	=	0	0	0	β1	0	≠	0	0	0	0	F crit	0	+	0	6.41	0	0	F stat	0	>	0	6.41	0	0	0	0	0	0	0	0	0	0	0	0	0	0	F stat	0	15.8	0	0	Reject	0	0	TISETC	0	β1	0	≠	0	0	0	0	0.001	0	<	0	<	0	0.0025	0	0	7.4628	0	pounds	0	16.8281	0	pounds	0	0	2.9818	0	pounds	0	0	-12.0667	0	pounds	0	18.0303	0	pounds	0	0	-0.0468233309	0	dollars/mile	0	-0.0132017694	0	dollars/mile	0	0	0.2992871269	0	price	0	mileage	0	0	0.8688345942	0	0	β1	0	=	0	0	0	β1	0	≠	0	0	0	0	t crit	0	±	0	3.792	0	0	0	0	0	0	0	0	t stat	0	<	0	-3.792	0	t stat	0	>	0	3.792	0	0	t stat	0	-3.0653869975	0	0	Fail to Reject	0	0	TINSETC	0	β1	0	≠	0	0	0	0	0.0056648237	0	0	0.9996995711	0	0	3765.9906706384	0	dollars	0	9402.2968522898	0	dollars	0	0	10,000 miles	0	mileage	0	0	0	0	0	300.1255016619	0	dollars	0	0	-0.5470714094	0

Tables

Normal	T Table	F Table
0.00	0.5000	df/area	0.1	0.05	0.025	0.01	0.005	0.0025	0.001	0.0005	0.1	0.05	0.025	0.01	0.005	0.0025	0.001
0.01	0.5040	1	3.078	6.314	12.706	31.821	63.656	127.321	318.289	636.578	1	39.86	161.45	647.79	4,052	16,211	64,845	405,284
0.02	0.5080	2	1.886	2.92	4.303	6.965	9.925	14.089	22.328	31.6	2	8.53	18.51	38.51	98.5	198.5	398.5	998.5
0.03	0.5120	3	1.638	2.353	3.182	4.541	5.841	7.453	10.214	12.924	3	5.54	10.13	17.44	34.12	55.55	89.58	167.03
0.04	0.5160	4	1.533	2.132	2.776	3.747	4.604	5.598	7.173	8.61	4	4.54	7.71	12.22	21.2	31.33	45.67	74.14
0.05	0.5199	5	1.476	2.015	2.571	3.365	4.032	4.773	5.894	6.869	5	4.06	6.61	10.01	16.26	22.78	31.41	47.18
0.06	0.5239	6	1.44	1.943	2.447	3.143	3.707	4.317	5.208	5.959	6	3.78	5.99	8.81	13.75	18.63	24.81	35.51
0.07	0.5279	7	1.415	1.895	2.365	2.998	3.499	4.029	4.785	5.408	7	3.59	5.59	8.07	12.25	16.24	21.11	29.25
0.08	0.5319	8	1.397	1.86	2.306	2.896	3.355	3.833	4.501	5.041	8	3.46	5.32	7.57	11.26	14.69	18.78	25.41
0.09	0.5359	9	1.383	1.833	2.262	2.821	3.25	3.69	4.297	4.781	9	3.36	5.12	7.21	10.56	13.61	17.19	22.86
0.10	0.5398	10	1.372	1.812	2.228	2.764	3.169	3.581	4.144	4.587	10	3.29	4.96	6.94	10.04	12.83	16.04	21.04
0.11	0.5438	11	1.363	1.796	2.201	2.718	3.106	3.497	4.025	4.437	11	3.23	4.84	6.72	9.65	12.23	15.17	19.69
0.12	0.5478	12	1.356	1.782	2.179	2.681	3.055	3.428	3.93	4.318	12	3.18	4.75	6.55	9.33	11.75	14.49	18.64
0.13	0.5517	13	1.35	1.771	2.16	2.65	3.012	3.372	3.852	4.221	13	3.14	4.67	6.41	9.07	11.37	13.95	17.82
0.14	0.5557	14	1.345	1.761	2.145	2.624	2.977	3.326	3.787	4.14	14	3.1	4.6	6.3	8.86	11.06	13.5	17.14
0.15	0.5596	15	1.341	1.753	2.131	2.602	2.947	3.286	3.733	4.073	15	3.07	4.54	6.2	8.68	10.8	13.13	16.59
0.16	0.5636	16	1.337	1.746	2.12	2.583	2.921	3.252	3.686	4.015	16	3.05	4.49	6.12	8.53	10.58	12.82	16.12
0.17	0.5675	17	1.333	1.74	2.11	2.567	2.898	3.222	3.646	3.965	17	3.03	4.45	6.04	8.4	10.38	12.55	15.72
0.18	0.5714	18	1.33	1.734	2.101	2.552	2.878	3.197	3.61	3.922	18	3.01	4.41	5.98	8.29	10.22	12.32	15.38
0.19	0.5753	19	1.328	1.729	2.093	2.539	2.861	3.174	3.579	3.883	19	2.99	4.38	5.92	8.18	10.07	12.12	15.08
0.20	0.5793	20	1.325	1.725	2.086	2.528	2.845	3.153	3.552	3.85	20	2.97	4.35	5.87	8.1	9.94	11.94	14.82
0.21	0.5832	21	1.323	1.721	2.08	2.518	2.831	3.135	3.527	3.819	21	2.96	4.32	5.83	8.02	9.83	11.78	14.59
0.22	0.5871	22	1.321	1.717	2.074	2.508	2.819	3.119	3.505	3.792	22	2.95	4.3	5.79	7.95	9.73	11.64	14.38
0.23	0.5910	23	1.319	1.714	2.069	2.5	2.807	3.104	3.485	3.768	23	2.94	4.28	5.75	7.88	9.63	11.51	14.2
0.24	0.5948	24	1.318	1.711	2.064	2.492	2.797	3.091	3.467	3.745	24	2.93	4.26	5.72	7.82	9.55	11.4	14.03
0.25	0.5987	25	1.316	1.708	2.06	2.485	2.787	3.078	3.45	3.725	25	2.92	4.24	5.69	7.77	9.48	11.29	13.88
0.26	0.6026	26	1.315	1.706	2.056	2.479	2.779	3.067	3.435	3.707	26	2.91	4.23	5.66	7.72	9.41	11.2	13.74
0.27	0.6064	27	1.314	1.703	2.052	2.473	2.771	3.057	3.421	3.689	27	2.9	4.21	5.63	7.68	9.34	11.11	13.61
0.28	0.6103	28	1.313	1.701	2.048	2.467	2.763	3.047	3.408	3.674	28	2.89	4.2	5.61	7.64	9.28	11.03	13.5
0.29	0.6141	29	1.311	1.699	2.045	2.462	2.756	3.038	3.396	3.66	29	2.89	4.18	5.59	7.6	9.23	10.96	13.39
0.30	0.6179	30	1.31	1.697	2.042	2.457	2.75	3.03	3.385	3.646	30	2.88	4.17	5.57	7.56	9.18	10.89	13.29
0.31	0.6217	31	1.309	1.696	2.04	2.453	2.744	3.022	3.375	3.633	60	2.79	4	5.29	7.08	8.49	9.96	11.97
0.32	0.6255	32	1.309	1.694	2.037	2.449	2.738	3.015	3.365	3.622	90	2.76	3.95	5.2	6.93	8.28	9.68	11.57
0.33	0.6293	33	1.308	1.692	2.035	2.445	2.733	3.008	3.356	3.611	10000000000	2.71	3.84	5.02	6.63	7.88	9.14	10.83
0.34	0.6331	34	1.307	1.691	2.032	2.441	2.728	3.002	3.348	3.601
0.35	0.6368	35	1.306	1.69	2.03	2.438	2.724	2.996	3.34	3.591
0.36	0.6406	36	1.306	1.688	2.028	2.434	2.719	2.99	3.333	3.582
0.37	0.6443	37	1.305	1.687	2.026	2.431	2.715	2.985	3.326	3.574
0.38	0.6480	38	1.304	1.686	2.024	2.429	2.712	2.98	3.319	3.566
0.39	0.6517	39	1.304	1.685	2.023	2.426	2.708	2.976	3.313	3.558
0.40	0.6554	40	1.303	1.684	2.021	2.423	2.704	2.971	3.307	3.551
0.41	0.6591	41	1.303	1.683	2.02	2.421	2.701	2.967	3.301	3.544
0.42	0.6628	42	1.302	1.682	2.018	2.418	2.698	2.963	3.296	3.538
0.43	0.6664	43	1.302	1.681	2.017	2.416	2.695	2.959	3.291	3.532
0.44	0.6700	44	1.301	1.68	2.015	2.414	2.692	2.956	3.286	3.526
0.45	0.6736	45	1.301	1.679	2.014	2.412	2.69	2.952	3.281	3.52
0.46	0.6772	46	1.3	1.679	2.013	2.41	2.687	2.949	3.277	3.515
0.47	0.6808	47	1.3	1.678	2.012	2.408	2.685	2.946	3.273	3.51
0.48	0.6844	48	1.299	1.677	2.011	2.407	2.682	2.943	3.269	3.505
0.49	0.6879	49	1.299	1.677	2.01	2.405	2.68	2.94	3.265	3.5
0.50	0.6915	50	1.299	1.676	2.009	2.403	2.678	2.937	3.261	3.496
0.51	0.6950	51	1.298	1.675	2.008	2.402	2.676	2.934	3.258	3.492
0.52	0.6985	52	1.298	1.675	2.007	2.4	2.674	2.932	3.255	3.488
0.53	0.7019	53	1.298	1.674	2.006	2.399	2.672	2.929	3.251	3.484
0.54	0.7054	54	1.297	1.674	2.005	2.397	2.67	2.927	3.248	3.48
0.55	0.7088	55	1.297	1.673	2.004	2.396	2.668	2.925	3.245	3.476
0.56	0.7123	56	1.297	1.673	2.003	2.395	2.667	2.923	3.242	3.473
0.57	0.7157	57	1.297	1.672	2.002	2.394	2.665	2.92	3.239	3.469
0.58	0.7190	58	1.296	1.672	2.002	2.392	2.663	2.918	3.237	3.466
0.59	0.7224	59	1.296	1.671	2.001	2.391	2.662	2.916	3.234	3.463
0.60	0.7257	60	1.296	1.671	2	2.39	2.66	2.915	3.232	3.46
0.61	0.7291	61	1.296	1.67	2	2.389	2.659	2.913	3.229	3.457
0.62	0.7324	62	1.295	1.67	1.999	2.388	2.657	2.911	3.227	3.454
0.63	0.7357	63	1.295	1.669	1.998	2.387	2.656	2.909	3.225	3.452
0.64	0.7389	64	1.295	1.669	1.998	2.386	2.655	2.908	3.223	3.449
0.65	0.7422	65	1.295	1.669	1.997	2.385	2.654	2.906	3.22	3.447
0.66	0.7454	66	1.295	1.668	1.997	2.384	2.652	2.904	3.218	3.444
0.67	0.7486	67	1.294	1.668	1.996	2.383	2.651	2.903	3.216	3.442
0.68	0.7517	68	1.294	1.668	1.995	2.382	2.65	2.902	3.214	3.439
0.69	0.7549	69	1.294	1.667	1.995	2.382	2.649	2.9	3.213	3.437
0.70	0.7580	70	1.294	1.667	1.994	2.381	2.648	2.899	3.211	3.435
0.71	0.7611	71	1.294	1.667	1.994	2.38	2.647	2.897	3.209	3.433
0.72	0.7642	72	1.293	1.666	1.993	2.379	2.646	2.896	3.207	3.431
0.73	0.7673	73	1.293	1.666	1.993	2.379	2.645	2.895	3.206	3.429
0.74	0.7704	74	1.293	1.666	1.993	2.378	2.644	2.894	3.204	3.427
0.75	0.7734	75	1.293	1.665	1.992	2.377	2.643	2.892	3.202	3.425
0.76	0.7764	76	1.293	1.665	1.992	2.376	2.642	2.891	3.201	3.423
0.77	0.7794	77	1.293	1.665	1.991	2.376	2.641	2.89	3.199	3.421
0.78	0.7823	78	1.292	1.665	1.991	2.375	2.64	2.889	3.198	3.42
0.79	0.7852	79	1.292	1.664	1.99	2.374	2.639	2.888	3.197	3.418
0.80	0.7881	80	1.292	1.664	1.99	2.374	2.639	2.887	3.195	3.416
0.81	0.7910	81	1.292	1.664	1.99	2.373	2.638	2.886	3.194	3.415
0.82	0.7939	82	1.292	1.664	1.989	2.373	2.637	2.885	3.193	3.413
0.83	0.7967	83	1.292	1.663	1.989	2.372	2.636	2.884	3.191	3.412
0.84	0.7995	84	1.292	1.663	1.989	2.372	2.636	2.883	3.19	3.41
0.85	0.8023	85	1.292	1.663	1.988	2.371	2.635	2.882	3.189	3.409
0.86	0.8051	86	1.291	1.663	1.988	2.37	2.634	2.881	3.188	3.407
0.87	0.8078	87	1.291	1.663	1.988	2.37	2.634	2.88	3.187	3.406
0.88	0.8106	88	1.291	1.662	1.987	2.369	2.633	2.88	3.185	3.405
0.89	0.8133	89	1.291	1.662	1.987	2.369	2.632	2.879	3.184	3.403
0.90	0.8159	90	1.291	1.662	1.987	2.368	2.632	2.878	3.183	3.402
0.91	0.8186	91	1.291	1.662	1.986	2.368	2.631	2.877	3.182	3.401
0.92	0.8212	92	1.291	1.662	1.986	2.368	2.63	2.876	3.181	3.399
0.93	0.8238	93	1.291	1.661	1.986	2.367	2.63	2.876	3.18	3.398
0.94	0.8264	94	1.291	1.661	1.986	2.367	2.629	2.875	3.179	3.397
0.95	0.8289	95	1.291	1.661	1.985	2.366	2.629	2.874	3.178	3.396
0.96	0.8315	96	1.29	1.661	1.985	2.366	2.628	2.873	3.177	3.395
0.97	0.8340	97	1.29	1.661	1.985	2.365	2.627	2.873	3.176	3.394
0.98	0.8365	98	1.29	1.661	1.984	2.365	2.627	2.872	3.176	3.393
0.99	0.8389	99	1.29	1.66	1.984	2.365	2.626	2.871	3.175	3.391
1.00	0.8413	100	1.29	1.66	1.984	2.364	2.626	2.871	3.174	3.39
1.01	0.8438	100000	1.282	1.645	1.96	2.326	2.576	2.807	3.09	3.29
1.02	0.8461	0.1	0.05	0.025	0.01	0.005	0.0025	0.001	0.0005
1.03	0.8485
1.04	0.8508
1.05	0.8531
1.06	0.8554
1.07	0.8577
1.08	0.8599
1.09	0.8621
1.10	0.8643
1.11	0.8665
1.12	0.8686
1.13	0.8708
1.14	0.8729
1.15	0.8749
1.16	0.8770
1.17	0.8790
1.18	0.8810
1.19	0.8830
1.20	0.8849
1.21	0.8869
1.22	0.8888
1.23	0.8907
1.24	0.8925
1.25	0.8944
1.26	0.8962
1.27	0.8980
1.28	0.8997
1.29	0.9015
1.30	0.9032
1.31	0.9049
1.32	0.9066
1.33	0.9082
1.34	0.9099
1.35	0.9115
1.36	0.9131
1.37	0.9147
1.38	0.9162
1.39	0.9177
1.40	0.9192
1.41	0.9207
1.42	0.9222
1.43	0.9236
1.44	0.9251
1.45	0.9265
1.46	0.9279
1.47	0.9292
1.48	0.9306
1.49	0.9319
1.50	0.9332
1.51	0.9345
1.52	0.9357
1.53	0.9370
1.54	0.9382
1.55	0.9394
1.56	0.9406
1.57	0.9418
1.58	0.9429
1.59	0.9441
1.60	0.9452
1.61	0.9463
1.62	0.9474
1.63	0.9484
1.64	0.9495
1.65	0.9505
1.66	0.9515
1.67	0.9525
1.68	0.9535
1.69	0.9545
1.70	0.9554
1.71	0.9564
1.72	0.9573
1.73	0.9582
1.74	0.9591
1.75	0.9599
1.76	0.9608
1.77	0.9616
1.78	0.9625
1.79	0.9633
1.80	0.9641
1.81	0.9649
1.82	0.9656
1.83	0.9664
1.84	0.9671
1.85	0.9678
1.86	0.9686
1.87	0.9693
1.88	0.9699
1.89	0.9706
1.90	0.9713
1.91	0.9719
1.92	0.9726
1.93	0.9732
1.94	0.9738
1.95	0.9744
1.96	0.9750
1.97	0.9756
1.98	0.9761
1.99	0.9767
2.00	0.9772
2.01	0.9778
2.02	0.9783
2.03	0.9788
2.04	0.9793
2.05	0.9798
2.06	0.9803
2.07	0.9808
2.08	0.9812
2.09	0.9817
2.10	0.9821
2.11	0.9826
2.12	0.9830
2.13	0.9834
2.14	0.9838
2.15	0.9842
2.16	0.9846
2.17	0.9850
2.18	0.9854
2.19	0.9857
2.20	0.9861
2.21	0.9864
2.22	0.9868
2.23	0.9871
2.24	0.9875
2.25	0.9878
2.26	0.9881
2.27	0.9884
2.28	0.9887
2.29	0.9890
2.30	0.9893
2.31	0.9896
2.32	0.9898
2.33	0.9901
2.34	0.9904
2.35	0.9906
2.36	0.9909
2.37	0.9911
2.38	0.9913
2.39	0.9916
2.40	0.9918
2.41	0.9920
2.42	0.9922
2.43	0.9925
2.44	0.9927
2.45	0.9929
2.46	0.9931
2.47	0.9932
2.48	0.9934
2.49	0.9936
2.50	0.9938
2.51	0.9940
2.52	0.9941
2.53	0.9943
2.54	0.9945
2.55	0.9946
2.56	0.9948
2.57	0.9949
2.58	0.9951
2.59	0.9952
2.60	0.9953
2.61	0.9955
2.62	0.9956
2.63	0.9957
2.64	0.9959
2.65	0.9960
2.66	0.9961
2.67	0.9962
2.68	0.9963
2.69	0.9964
2.70	0.9965
2.71	0.9966
2.72	0.9967
2.73	0.9968
2.74	0.9969
2.75	0.9970
2.76	0.9971
2.77	0.9972
2.78	0.9973
2.79	0.9974
2.80	0.9974
2.81	0.9975
2.82	0.9976
2.83	0.9977
2.84	0.9977
2.85	0.9978
2.86	0.9979
2.87	0.9979
2.88	0.9980
2.89	0.9981
2.90	0.9981
2.91	0.9982
2.92	0.9982
2.93	0.9983
2.94	0.9984
2.95	0.9984
2.96	0.9985
2.97	0.9985
2.98	0.9986
2.99	0.9986
3.00	0.9987
3.01	0.9987
3.02	0.9987
3.03	0.9988
3.04	0.9988
3.05	0.9989
3.06	0.9989
3.07	0.9989
3.08	0.9990
3.09	0.9990
3.10	0.9990
3.11	0.9991
3.12	0.9991
3.13	0.9991
3.14	0.9992
3.15	0.9992
3.16	0.9992
3.17	0.9992
3.18	0.9993
3.19	0.9993
3.20	0.9993
3.21	0.9993
3.22	0.9994
3.23	0.9994
3.24	0.9994
3.25	0.9994
3.26	0.9994
3.27	0.9995
3.28	0.9995
3.29	0.9995
3.30	0.9995
3.31	0.9995
3.32	0.9995
3.33	0.9996
3.34	0.9996
3.35	0.9996
3.36	0.9996
3.37	0.9996
3.38	0.9996
3.39	0.9997
3.40	0.9997
3.41	0.9997
3.42	0.9997
3.43	0.9997
3.44	0.9997
3.45	0.9997
3.46	0.9997
3.47	0.9997
3.48	0.9997
3.49	0.9998
3.50	0.9998
3.51	0.9998
3.52	0.9998
3.53	0.9998
3.54	0.9998
3.55	0.9998
3.56	0.9998
3.57	0.9998
3.58	0.9998
3.59	0.9998
3.60	0.9998
3.61	0.9998
3.62	0.9999
3.63	0.9999
3.64	0.9999
3.65	0.9999
3.66	0.9999
3.67	0.9999
3.68	0.9999
3.69	0.9999
3.70	0.9999
3.71	0.9999
3.72	0.9999
3.73	0.9999
3.74	0.9999
3.75	0.9999
3.76	0.9999
3.77	0.9999
3.78	0.9999
3.79	0.9999
3.80	0.9999
3.81	0.9999
3.82	0.9999
3.83	0.9999
3.84	0.9999
3.85	0.9999
3.86	0.9999
3.87	0.9999
3.88	0.9999
3.89	0.9999