PLEASE HELP ME TO ANSWER IT.

2 Multiple Choice 4. (2 points) In the multiple linear regression model wage = Bo + Bimarried + Breduc + u, married = 1 if the individual is married and 0 otherwise. Graphically, B1 represents which of the following A. Difference in slopes between married and non-marrieda new of lords B. Difference in intercepts between married and non-married C. Difference in slopes & intercepts between married and non-married D. None of the above 5. (2 points) Suppose you are given that B1 = .0206, se(B1) = .00517 with a = 5%, and the following critical values cv.05/2 = 1.96, cv.10/2 = 1.645, cv.025/2 = 2.25. Use the correct critical value to construct the 95% confidence interval for B1 A. (.0143, .0376) B. (.0158, .0361) C. (.0174, .0345) D. None of the above sueno ebion moms ate odT (mieg 1 1 6. (2 points) In the MLR setting, if we ran the following y = Bo + Bimale + B2 female + Byeductu, where male = 1 if the individual is male and 0 otherwise and female = 1 if the individual is female and 0 otherwise; which of the following will definitely happen? A. MLR.1 fails B. MLR.2 fails C. MLR.3 fails y bobon boilslugog aniwallor of evil ow seogque (alog !) S dolly D. MLR.4 fails ( Ex Ix 7. (2 points) Consider the following multiple linear regression models in equations (1) and (2) below, Unrestricted: log(y) = Bo +Bizi + B242 + Byx3 tu :; (1) Restricted: log(y) = Bo + W olqulum abrollol ads at (leg ) (2) Where the R2 from model (1) is .09 and the sample size n = 100. Compute the F-stat for the overall significance test of a regression. You are given the following critical value Fan-k-1(a = .05) = 2.73. What do you conclude? i brus A. Reject the null hypothesis 1: B. Fail to reject the null hypothesis 1951.. C. Not enough information . . . . Page 2