Question

In: Statistics and Probability

Use data in BUSI1013 Credit Card Balance.xlsx to complete the following. You will need to use...

  1. Use data in BUSI1013 Credit Card Balance.xlsx to complete the following. You will need to use a statistical package such as StatTools or the Regression program within Excel’s Data Analysis Add-in to generate the estimated regression equation and the ANOVA etc. (12 points)
    What is the estimated regression equation using Account Balance as the dependent variable, and Income, Years of Education, as well as Size of Household as the independent variable?
  2. a.Comment on the goodness of fit of the model using the coefficient of determination.
  3. b.Conduct an F test with the critical value approach to see whether the overall model is significant. Use α = 0.01.
  4. c.Perform a t test with p-value approach for the significance of the Income variable. Use α = 0.05.
  5. d.Perform a t test with the p-value approach for the significance of the Size of Household variable. Use α = 0.05.
  6. e.Estimate the Account Balance of a customer who has an income of $62 thousand, 14 years of education, and a household size of 3.
Account Balance Income Years of Education Size of Household
8976 63 12 2
8308 37 14 2
10028 52 16 2
11256 64 15 4
9869 47 17 2
10194 74 15 2
8706 49 12 2
9557 58 14 2
10565 70 16 3
9434 69 11 3
9687 25 18 3
9490 57 15 1
8806 46 14 3
9561 48 16 2
11757 80 15 3
9406 66 14 2
11150 46 15 3
7671 28 12 2
8803 53 13 1
9571 52 15 2
9566 77 12 3
7885 32 14 3
9773 55 11 1
9121 52 15 2
9298 43 14 3
10285 65 15 2
7801 38 12 1
9323 52 14 2
8643 36 16 3
12466 85 15 2
9447 64 14 2
10727 86 15 2
9243 57 15 3
9311 68 12 2
11033 74 14 3
11721 82 16 2
8727 24 15 3
8438 37 15 3
8317 55 12 2
8617 50 14 1
9052 39 16 3
10889 73 15 3
7766 26 14 1
9189 47 15 2

Solutions

Expert Solution

Following is the output of regression analysis:

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.878541582
R Square 0.771835311
Adjusted R Square 0.75472296
Standard Error 552.6878046
Observations 44
ANOVA
df SS MS F Significance F
Regression 3 41332908.42 13777636.14 45.1039885 6.6487E-13
Residual 40 12218552.37 305463.8093
Total 43 53551460.8
Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept 2095.365223 841.1043503 2.491207211 0.016979296 395.4299369 3795.300509
Income 51.95408819 5.100340752 10.18639552 1.13077E-12 41.64591512 62.26226126
Years of Education 288.9485028 56.13511891 5.147374912 7.39444E-06 175.4951965 402.401809
Size of Household 207.4655622 121.5575607 1.706726929 0.095626051 -38.21142968 453.142554

The estimated regression equation is

Account-balance = 2095.3652 + 51.9541 * Income + 288.9485 * Years-of-education + 207.4656 * Size-of-household

----------------------------------------------------

(a)

The coefficient of determination is : 0.7718

That is 77.18% of variation in dependent variable is explained by independent variable.

(b)

The critical value of F using excel function "=FINV(0.01,3,40)" is 4.313.

Since F = 45.104 and it is greater than critical value 4.313 so we model is significant at 0.01 level of significance.

(c)

The p-value of income is 0.0000. Since p-value is less than α = 0.05 so we can conclude that income is significant to the model.

(d)

The p-value of size of household is 0.0956. Since p-value is not less than α = 0.05 so we cannot conclude that size of household is significant to the model.

(e).

The predicted value of Account Balance is

Account-balance = 2095.3652 + 51.9541 * 62 + 288.9485 * 14 + 207.4656 * 3 = 9984.1952

Answer: $9984.20


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