Question

In: Statistics and Probability

The station manager of a local television is interested in predicting the amount of television (in...

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.”

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