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Question
NARRBEGIN: SA_110_113The station manager of a local television station is interested in predicting the amount of television (in hours) that people will watch in the viewing area. The explanatory variables are:
age (in years), 
education (highest level obtained, in years) and 
family size (number of family members in household). The multiple regression output is shown below:| Summary measures | ||
| Multiple R | 0.844 | |
| R-Square | 0.7123 | |
| Adj R-Square | 0.6644 | |
| StErr of Estimate | 0.5598 | |
| ANOVA Table | |||||||||||
| Source | df | SS | MS | F | p-value | ||||||
| Explained | 3 | 13.9682 | 4.6561 | 14.8564 | 0 | ||||||
| Unexplained | 18 | 5.6413 | 0.3134 | ||||||||
| Regression coefficients | ||||||||
| Coefficient | Std Err | t-value | p-value | |||||
| Constant | 1.683 | 1.1696 | 1.4389 | 0.1674 | ||||
| Age | -0.0498 | 0.0199 | -2.5018 | 0.0222 | ||||
| Education | 0.2135 | 0.0503 | 4.2426 | 0.0005 | ||||
| Family Size | 0.0405 | 0.0784 | 0.5168 | 0.6116 | ||||
NARREND
(A) Use the information above to estimate the linear regression model.
(B) Interpret each of the estimated regression coefficients of the regression model in (A).
(C) Identify and interpret the coefficient of determination (
) for the model in (A).(D) Identify and interpret the standard error of the estimate
for the model in (A). Answer
This answer is hidden. It contains 773 characters.
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