In: Statistics and Probability
The station manager of a local television is interested in predicting the amount of television (in hours) that people will watch in the viewing area. The explanatory variables are: x1 age (in years), x2 education (highest level obtained, in years) and x3 family size (number of family members in household). The multiple regression output is shown below: Summary measures
Multiple R 0.8440
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 0.0000
Unexplained 18 5.6413 0.3134
Regression coefficients
Coeff 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
Based on the information above to estimate the linear regression model, indicate if the following statement is true or false: “older people watch less television.”