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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:

SUMMARY OUTPUT



Regression Statistics

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

Engineering Mathematics, Engineering

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