Linear Regression Model Case Study - Statistics Assignment Help

Assignment Task

Run a linear regression model with Television viewing as the dependent variable and the following as the explanatory variables: Age, Edy, Dum_Sex, Diabetes, Exercise, Obese, Flu Shot and Family income.

Answer the following questions:

• Interpret the coefficient for dum_sex. Is it significant? Do the results imply that women watch more or less TV than men?
• Interpret the coefficients on the health variables (H_exc, h_vg, h_good, h_fair and h_poor). Does poorer health lead to more television viewing?
• Does including health (H_exc, h_vg, h_good, h_fair and h_poor) and behavioural variables (Diabetes, Exercise, Obese, Flu Shot) in the same regression introduce any issues? What is this problem called in statistics.
• Remove the behavioural variables (Diabetes, Exercise, Obese, Flu Shot) from the set of explanatory variables and see if it improves the estimation.

Base your answers on the R-squared and F-statistic values.
 

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