Question: For this question, use the following multiple regression output (which may differ from the output in other questions, even though the variables are the same).

For this question, use the following multiple regression output (which may differ from the output in other questions, even though the variables are the same).

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.507
R Square 0.257
Adjusted R Square 0.217
Standard Error 5319.659
Observations 100
ANOVA
df SS MS F Significance F
Regression 5 918149733.6 183629946.7 6.489 3.175E-05
Residual 94 2660085040 28298777.02
Total 99 3578234773
Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept 9714.244 3289.053 2.954 0.0040 3183.751 16244.736
Annual Income ($1000) 87.421 18.063 4.840 5.082E-06 51.557 123.284
Household Size -145.809 270.677 -0.539 0.5914 -683.244 391.627
Education -676.427 335.456 -2.016 0.0466 -1342.483 -10.371
TV Hours 42.242 31.228 1.353 0.1794 -19.762 104.247
Age -72.153 52.101 -1.385 0.1694 -175.601 31.295

All other things being equal, how much do you estimate the annual charges will change for a unit increase in weekly hours of TV watched? A negative number means the predicted charges will decrease, while a positive number means they will increase.

Group of answer choices

-$31.23

$42.24

-$42.24

$31.23

It depends on what the current TV watching hours are.

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