Question
The station manager of a local television station is interested in predicting the amount of television (in hours) that people will watch in the viewing
The 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
R-Square | 0.7123 |
Adj R-Square | 0.6644 |
StErr of Estimate | 0.5598 |
Regression Coefficients
Coefficient | |
Constant | 1.683 |
Age | -0.0498 |
Education | 0.2135 |
Family Size | 0.0405 |
(a) What would be the difference in predicted TV watching hours for someone who lives in family with 4 members vs another person who lives in a family with 5 members? Report 4 decimal points.
(b) Based on the results, can we conclude that older people in general watch less TV? Yes or No?
(c) We want to predict which one of our two friends watches more TV. Mary is 35 years old, she has 20 years of education, and lives in a family of 3. Jack is 30 years old, he has 15 years of education, and lives in a family of 6. Who is predicted to watch more TV? Jack" or Mary?
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