What can predict how much a motion picture will make? Data on a number of recent releases that includes the Gross ($M), the Budget ($M), the Run Time (minutes), and the average number of Stars awarded by reviewers was collected and a regression model was created to predict Gross. Use the computer output given below to complete parts a through e. Dependent variable is: Gross R squared = 40.1%, R squared (adjusted) = 38.5% s = 48.22 with 120 - 4 = 116 degrees of freedom Variable Coef SE(Coef) t-ratio P-value Intercept -22. 1913 25.08 - 0.88 0.3807 Budget 1.12611 0.12262 9.18 0.0000 Stars 22.4587 6.442 3.49 0.0007 Run Time - 0.412802 0.2547 - 1.62 0. 1080 a) What is the null hypothesis tested for the coefficient of Run Time in this table? O A. Ho: BRun Time =0 O B. Ho: BRun Time > 0 O C. Ho: BRun Time