Questions 13 through 17 are based on the following regression In the following regression, "movie" is the number of times a year a person watches movies in a movie theater, "employed" is a dummy indicating a person is employed, "unemployed" is a dummy indicating a person is unemployed, "married" is a dummy indicating a person is married, and "single" is a dummy indication a person is single * indicates interaction of two variables: +... (0.8) (0.2) (0.7) N 500 R2=0.44 Standard errors are reported in parentheses. Sample size is 500. R-squared is 0.44. 13. How much is the difference in movie watching between a person who is employed and married and a person is a unemployed and single? (4pts) A1 13. How much is the difference in movie watching between a person who is employed and married and a person is unemployed and single? (Apts) AI B2 C3 D.4 ES 14. Following question 13. this difference is statistically significant (4pts) A. Yes B No C. Don't know 15. How much is the difference in movie watching between a person who is employed and single and a person is unemployed and married? (4pts) AL B2 C.3 D. 4 E 3 B. 2 C.3 D. 4 E. 5 16. Following question 15, the difference is statistically insignificant at the 5% level. (4pts) A. True B. False C. Don't know 17. Based on this regression, difference in movie watching caused by employment status does not depend on marital status. (4pts) A. True B. False C. Don't know