QUESTION 1: Did you double check that you are using the correct data set?
True
False
QUESTION 2: How many observations are there?
QUESTION 3: What is the average balance in thousands of dollars? Do not include a $ in your answer. Answer to 2 decimal places. Hint, your number should be less than 100.
QUESTION 4: What is the median balance in thousands of dollars? Do not include a $ in your answer. Answer to 2 decimal places. Hint, your number should be less than 100.
QUESTION 5: What % of cards are green? Do not include a % in your answer. Answer to 2 decimal places. Hint, your number should be less than 100 and greater than 1.
QUESTION 6: Test the hypothesis that the average income is $50,000. What is the test statistic? Answer to 2 decimal places.
QUESTION 7: Test the hypothesis that the average tenure is equal for white and red card holders. Use a significance level of .01. What is the test statistic? Answer to 2 decimal places. Hint "red" is sample 1 and "white" is sample 2.
QUESTION 8: For the question above for testing the hypothesis that tenures are equal for red and white you reject the null hypothesis at the .01 level of significance.
True
False
QUESTION 9: Test the hypothesis that the average tenure is equal for all types of cards, red, white, and green. Use a significance level of .01. What is the test statistic? Answer to 3 decimal places.
QUESTION 10: For the question above for testing the hypothesis that tenures are equal for all card types you reject the null hypothesis at the .01 level of significance.
True
False
QUESTION 11: Regress balance on income and average payment in the last 12 months. What is R square? Answer to 3 decimal places.
QUESTION 12: What is the estimated coefficient on average payment? Answer to 3 decimal places.
QUESTION 13: What is the estimated coefficient on income? Answer to 3 decimal places.
QUESTION 14: The estimated coefficient on income is statistically different from 0 at the .05 level of significance.
True
False
DATA:
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SUMMARY OUTPUT
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|
|
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Regression Statistics
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|
Multiple R
|
0.112277
|
|
R Square
|
0.013
|
|
Adjusted R Square
|
0.007778
|
|
Standard Error
|
2.920363
|
|
Observations
|
412
|
|
ANOVA
|
|
|
|
|
|
|
|
df
|
SS
|
MS
|
F
|
Significance F
|
|
Regression
|
2
|
44.53357
|
22.26678
|
2.610862
|
0.074695
|
|
Residual
|
409
|
3488.164
|
8.528519
|
|
|
|
Total
|
411
|
3532.698
|
|
|
|
|
Coefficients
|
Standard Error
|
t Stat
|
P-value
|
Lower 95%
|
Upper 95%
|
Lower 95.0%
|
Upper 95.0%
|
|
Intercept
|
3.979782
|
0.597118
|
6.664988
|
8.58E-11
|
2.805979
|
5.153585
|
2.805979
|
5.153585
|
|
Income (in $1,000)
|
0.029
|
0.013373
|
2.19789
|
0.028517
|
0.003104
|
0.055682
|
0.003104
|
0.055682
|
|
Average Payment in Last 12 Months (in $1,000)
|
-0.389
|
0.283074
|
-1.37534
|
0.169779
|
-0.94578
|
0.167139
|
-0.94578
|
0.167139
|