Problem 2: Consider a model regressing Q3 on three independent variables: Q2, Q9, and Q13. Q13 should enter the model as a categorical variable, but Q2 and Q9 enter as continuous variables, similar to Problem 1. (5.5 points) 1) Create dummy variables for Q13 and choose whatever dummy variables you want to enter the model. (1 pt) 2) Compare the overall fit of the new model with that of the model in Problem 1. Which model fits the data better? What statistic is more appropriate to make this comparison, R-square or adjusted R-square? Why? (1 pt) 3) How does the student classification affect the number of times one attends movies? (Please use the parameter estimates to answer this question) (2 pts) 4) If a sophomore student thought that going to the movies was "somewhat important" and was "somewhat active" physically, how many times per month would he or she attend movies based on this model? (1.5 pts)

I can attach the necessary data set.