hi i need someone proffecional with fire class homework?

Sheet1

FSE 200
Homework Assignment 4
25 Points
Directions:
Complete all questions below. Save the file containing your solutions and
submit electronically under Assignments -> Assignment 4 in Blackboard.
Using the following data, determine whether or not the square footage of a
particular fire station has an effect on the turnout time for the firefighters.
(This data is recreated from an EFO paper by Michael E. Dell'Orfano.)
			Completion of Chart (4 points)
Station	Square Footage	Turnout Time (in minutes)	Area Squared	Time Squared	Area * Time
31	3842	1.82	14760964	3.3124	6992.44
32	11572	1.86	133911184	3.4596	21523.92
33	6802	2.13	46267204	4.5369	14488.26
34	18500	2.37	342250000	5.6169	43845
35	19232	1.92	369869824	3.6864	36925.44
36	4500	2.33	20250000	5.4289	10485
37	6700	2	44890000	4	13400
38	3093	2.02	9566649	4.0804	6247.86
39	9229	2.22	85174441	4.9284	20488.38
40	6094	2.42	37136836	5.8564	14747.48
41	15130	2.44	228916900	5.9536	36917.2
42	7523	2.22	56595529	4.9284	16701.06
43	15000	3.18	225000000	10.1124	47700
44	9000	2.18	81000000	4.7524	19620
45	9647	2.35	93064609	5.5225	22670.45
46	15130	2.5	228916900	6.25	37825
Sum	160994	35.96	2017571040	82.4256	370577.49
Mean (1 point)	10062.13	2.25		Correlation Coefficient (1 point)	Coefficient of Determination (1 point)
SD (1 point)	5148.65	0.33		0.346	0.120
What is the Dependent Variable (1 point)?
What is the Independent Variable (1 point)?
Place a scatterplot of the relationship of turnout time and square footage below (2 points). Show the trendline as well.
Remember to include titles and labels.
What does this data tell you about the relationship (2 points)?
State the equation of the least-squares regression line (1 point).
Identify and interpret the slope (2 points).
Identify and interpret the intercept (2 points).
If appropriate, use the least-squares regression equation to predict the turnout time for a 12,000 square foot fire station (2 points).
If appropriate, use the least-squares regression equation to predict the turnout time for a 25,000 square foot fire station (2 points).
Obtain the residual plot and analyze the output (2 points).
RESIDUAL OUTPUT
Observation	Predicted Turnout Time (in minutes)	Residuals
1	2.1107255995	-0.2907255995
2	2.2807006588	-0.4207006588
3	2.1758130737	-0.0458130737
4	2.4330405308	-0.0630405308
5	2.4491364873	-0.5291364873
6	2.1251943691	0.2048056309
7	2.1735701946	-0.1735701946
8	2.0942558299	-0.0742558299
9	2.2291804048	-0.0091804048
10	2.1602448536	0.2597551464
11	2.3589375619	0.0810624381
12	2.1916671511	0.0283328489
13	2.3560789904	0.8239210096
14	2.2241449211	-0.0441449211
15	2.2383718116	0.1116281884
16	2.3589375619	0.1410624381

Turnout time (in minutes) for the firefighters is dependent variable.

Scatter Plot

3842.0 11572.0 6802.0 18500.0 19232.0 4500.0 6700.0 3093.0 9229.0 6094.0 15130.0 7523.0 15000.0 9000.0 9647.0 15130.0 1.82 1.86 2.13 2.37 1.92 2.33 2.0 2.02 2.22 2.42 2.44 2.22 3.18 2.18 2.35 2.5

Area (Square footage)

Turnout time

Square Footage Residual Plot

3842.0 11572.0 6802.0 18500.0 19232.0 4500.0 6700.0 3093.0 9229.0 6094.0 15130.0 7523.0 15000.0 9000.0 9647.0 15130.0 -0.290725599547464 -0.420700658810437 -0.0458130737283695 -0.0630405308122319 -0.529136487265078 0.204805630854213 -0.173570194550514 -0.0742558298983091 -0.00918040475440218 0.259755146447334 0.0810624381031908 0.028332848945809 0.823921009604379 -0.0441449211100013 0.111628188418699 0.141062438103191

Square Footage

Residuals

Area (Square footage) of a fire station is independent variable.

This data tells us that there is weak positive relationship between square footage area and turnout time for firefighters. Hence as square footage area increases, the turnout time for firefighters also increases to smaller extent.

The equation of the least-squares regression line is given below. Turnout time = 2.026 + 0.000021*Square footage

The slope of regression line is 0.000021. The slope indicates that when there is one square foot increase in area of a fire station, predicted turnout time for firefighters increases by 0.000021 minutes.

The intercept of regression line is 2.026. The intercept indicates that when area of fire station is 0 square foot, predicted turnout time for firefighters is approximately 2.026 minutes.

The least-squares regression equationis given below. Turnout time = 2.026 + 0.000021*Square footage Turnout time = 2.026 + 0.000021*12,000 = 2.29 minutes Hence predicted turnout time for a 12,000 square foot fire station is 2.29 minutes.

Least-squares regression equation is not useful to predict the turnout time for a 25,000 square foot fire station because value of x (25,000) is outlier for given range of area.

Residual plot indicates that all the residuals are randomly distributed and there is no any pattern observed. Hence normality assumption is satisfied.