mth130 h8
katherinabe
HomeworkAssignmentsforWeek8.docxHomework Assignments for Week 8
Berenson, M., Levine, D., & T. Krehbiel. (2006). Basic Business Statistics (10th ed.). NJ: Prentice Hall. ISBN: 0-13-153686-9
The following problems are from the above textbook Chapter 13 for this course as homework assignment for week eight: You can use any source.
1.
2. Following data is amount of Assessed Value for an office building for a given floor area, number of office space, number of entrances, and the age of the offic building. Use excel to ….
a. Obtain a Scatter plot of Floor Area as the independent and Assessed value as the dependent variable.
b. Note the linear regression Model
c. Predict the assessed value for 6000 sq ft.
|
FloorArea (Sq.Ft.) |
Offices |
Entrances |
Age |
AssessedValue ($'000) |
|
4790 |
4 |
2 |
8 |
1796 |
|
4720 |
3 |
2 |
12 |
1544 |
|
5940 |
4 |
2 |
2 |
2094 |
|
5720 |
4 |
2 |
34 |
1968 |
|
3660 |
3 |
2 |
38 |
1567 |
|
5000 |
4 |
2 |
31 |
1878 |
|
2990 |
2 |
1 |
19 |
949 |
|
2610 |
2 |
1 |
48 |
910 |
|
5650 |
4 |
2 |
42 |
1774 |
|
3570 |
2 |
1 |
4 |
1187 |
|
2930 |
3 |
2 |
15 |
1113 |
|
1280 |
2 |
1 |
31 |
671 |
|
4880 |
3 |
2 |
42 |
1678 |
|
1620 |
1 |
2 |
35 |
710 |
|
1820 |
2 |
1 |
17 |
678 |
|
4530 |
2 |
2 |
5 |
1585 |
|
2570 |
2 |
1 |
13 |
842 |
|
4690 |
2 |
2 |
45 |
1539 |
|
1280 |
1 |
1 |
45 |
433 |
|
4100 |
3 |
1 |
27 |
1268 |
|
3530 |
2 |
2 |
41 |
1251 |
|
3660 |
2 |
2 |
33 |
1094 |
|
1110 |
1 |
2 |
50 |
638 |
|
2670 |
2 |
2 |
39 |
999 |
|
1100 |
1 |
1 |
20 |
653 |
|
5810 |
4 |
3 |
17 |
1914 |
|
2560 |
2 |
2 |
24 |
772 |
|
2340 |
3 |
1 |
5 |
890 |
|
3690 |
2 |
2 |
15 |
1282 |
|
3580 |
3 |
2 |
27 |
1264 |
|
3610 |
2 |
1 |
8 |
1162 |
|
3960 |
3 |
2 |
17 |
1447 |
|
3960 |
3 |
2 |
17 |
1447 |
|
1280 |
1 |
1 |
45 |
433 |
|
5000 |
4 |
2 |
31 |
1878 |
|
1280 |
1 |
1 |
45 |
433 |
|
3660 |
3 |
2 |
38 |
1567 |
|
3960 |
3 |
2 |
17 |
1447 |
|
4880 |
3 |
2 |
42 |
1678 |
3. Is there a statistical significance difference between the five cities in their ability to sell the three different type of autos? How about the different in car models? (conduct an analysis of variance using excel to determine this problem. Make sure you conuct a full fledge eight step hypotheis test for both supervisors and shifts.)
|
|
Toyota |
Honda |
Ford |
|
San Diego |
30 |
31 |
33 |
|
Escondido |
23 |
26 |
33 |
|
El Cajon |
34 |
35 |
20 |
|
LA |
30 |
24 |
40 |
|
SF |
25 |
39 |
49 |
For the different car models:
3a What will be your Ho?
3b what is your Ha?
3c What is your level of significance?
3d What is your test statistics?
3e Why did you use the specific test statistics?
3f What is your decision rule?
3g Do your excel statistical print out
3h What is your decision?
3i What is your conclusion?
3K What is your recommendation?
For the different cities:
3a What will be your Ho?
3b what is your Ha?
3c What is your level of significance?
3d What is your test statistics?
3e Why did you use the specific test statistics?
3f What is your decision rule?
3g Do your excel statistical print out
3h What is your decision?
3i What is your conclusion?
3K What is your recommendation?
