Use the data set to estimate how a persona age affects their
Use the data set to estimate how a person\'a age affects their expenditures on snacks at the movies. *moviegoer spending on snacks (n=10 persons)
1. What is the estimate of the population slope parameter?
A. 6.9609
B. -0.0530
C. -0.8629
D. 0.0103
2. Predict the amount spent on snacks for a 25 year old moviegoer.
A. $5.92
B. $6.14
C. $5.64
D. $5.23
3. Does age significantly affect the amount people spend on snacks at the movies (use a significance level of 0.05)
A. Yes
B. no
4. A 1 year increase is a moviegoer\'s age causes
A. The predicted expenditure on snacks to go up by $0.50
B. The predicted expenditure on snacks to go up by $0.05
C. The predicted expenditure on snacks to go down by $0.50
D. The predicted expenditure on snacks to go down by $0.05
5. How much of the variation in expenditures on snacks is explained by variation in age
A. More information is needed to answer this question
B. 29%
C. 8.5%
D. 92%
6. For this regression, on average what do the errors (residuals) equal
A. 39.61
B. 0
C. 36.24
D. Need more information to answer this question
7. What is the measure for the total variation in the dependent variable
A. 39.61
B. 36.24
C. 3.37
D. 0.29
8. What is the upper bound of the 90% confidence interval around the slope estimate
A. 0.0687
B. 0.0886
C. 0.0612
D. 0.0569
E. -0.0684
9. What critical t values should be used to test whether the slope parameter for age is different from zero at the 0.05 level A. 1.96, -1.96
B. 2.045, -2.045
C. 1.645, -1.645
D. 2.306, -2.306
| Age | Spent |
| 30 | 2.85 |
| 50 | 6.50 |
| 34 | 1.50 |
| 12 | 6.35 |
| 37 | 6.20 |
| 33 | 6.75 |
| 36 | 3.60 |
| 26 | 6.10 |
| 18 | 8.35 |
| 46 | 4.35 |
Solution

