1. Generate a scatterplot for CREDIT BALANCE vs. SIZE, including the graph of the “best fit” line. Interpret.
2. Determine the equation of the “best fit” line, which describes the relationship between CREDIT BALANCE and SIZE.
3. Determine the coefficient of correlation. Interpret.
4. Determine the coefficient of determination. Interpret.
5. Test the utility of this regression model (use a two tail test with α =.05). Interpret your results, including the p-value.
6. Based on your findings in 1-5, what is your opinion about using SIZE to predict CREDIT BALANCE? Explain.
7. Compute the 95% confidence interval for beta-1 (the population slope). Interpret this interval.
8. Using an interval, estimate the average credit balance for customers that have household size of 5. Interpret this interval.
9. Using an interval, predict the credit balance for a customer that has a household size of 5. Interpret this interval.
10. What can we say about the credit balance for a customer that has a household size of 10? Explain your answer
In an attempt to improve the model, we attempt to do a multiple regression model predicting CREDIT BALANCE based on INCOME, SIZE and YEARS.
11. Using MegaStat run the multiple regression analysis using the variables INCOME, SIZE and YEARS to predict CREDIT BALANCE. State the equation for this multiple regression model.
12. Perform the Global Test for Utility (F-Test). Explain your conclusion.
13. Perform the t-test on each independent variable. Explain your conclusions and clearly state how you should proceed. In particular, which independent variables should we keep and which should be discarded.
14. Is this multiple regression model better than the linear model that we generated in parts 1-10? Explain.
Summarize your results from 1-14 in a report that is three pages or less in length and explain and interpret the results.
>Sheet 00)
2 12 5 4 00
5 2 9 1 31
4 10 0
3 11 3 12 4
4 12
95
71
6 13 8
6 14 5 5 86
2 11 3 18 2 18 7 03
2 14
2
1
Location
Income ($
10
Size
Years
Credit Balance($)
North East
5
4
3
12
40
1
6
Mid West
30
31
9
North East
32
1
7
51
North West
50
14
47
42
Mid West 31 2 4
1
8
64
North East
55
4070
Mid West
37
20
27
North East 40 2 7
33
48
North West
66
4764
North East 51 3
16
4
11
North East
25
4208
North East 48 4 16
42
19
Mid West 27 1 19
2477
Mid West 33 2 12
2514
North East
65
4
21
North West
63
13
4965
North East 55 6
15
44
North East 21 2
18
2448
Mid West 44 1 7
29
North East 37 5 5
41
North West
62
5
67
North East 21 3 16
36
23
North West 55 7 15
5301
Mid West 42 2 19
3020
North East 41 7 18
4828
North West
54
5573
Mid West 30 1 14
2583
North East 48 2 8
3866
North East
34
35
North West 67 4 13
5037
Mid West 50 2 11
3605
North East 67 5 1
5345
North East 55 6 10
5370
North East
52
3890
North East 62 3 2
4705
North East 64 2 6
4157
North West
22
3899
North East 29 4 4 3890
North West
39
2972
Mid West 35 1 11
3121
North East 39 4 15
4183
North West 54 3 9
3730
North West 23 6 18
4127
Mid West 27 2 1
2921
North East
26
17
46
North West
61
4273
Mid West 30 2 14
3067
Mid West 22 4 16
3074
North West 46 5 13
4820
North West 66 4 20
5149
Sheet2
Sheet3