Questions #1, and 3-5 are unrelated and independent to the below questions. I only needed guidance on these two separate questions.

6. The state of Minnesota wants to know whether restricting the opening hours of liquor stores reduces alcohol consumption. You gather a data set that contains the following information: alcohol; = per capital alcohol consumption (in gallons) in location i and hours; = the number of hours that liquor stores were open in location i. You estimate the regression model by OLS alcohol; = 30 + Blhoursi + u; and obtain the following results alcoholi = 2.76 + 0.528 hoursign = 600, R-squared=0.07 Use the above estimation results to predict the change in alcohol consumption if the opening hours of liquor stores are reduced by 2 hours. a. 0.528 b. 1.056 c. 2.76 d. 1.38 2. For 3 random variables X1, X2 and Y, Cov(X1 - X2, Y) is equal to a. Cov(X], Y) - Cov(X2, Y) b. Cov(X], Y) + Cov(X2, Y) c. Cov(X] , Y) d. Cov(X2, Y)