Answer Happy

What can predict how much a motion picture will make? Data on a number of recent releases that includes the Gross (SM), the Budget (SM), 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=47.5%, R squared (adjusted) #46.1% s 41.53 with 120-4-116 degrees of freedom Variable Coef -22.8191 SE(Coef) 25.62 Intercept t-ratio -0.89 P-value 0.3753 1.14178 0.12407 9.20 0.0000 Budget Stars 24.5195 4.01 0.0001 6.107 0.2559 Run Time -0.415945 -1.63 0.1058 a) What is the null hypothesis tested for the coefficient of Run Time in this table? OA. Ho: Pun Time #0 OB. Ho: Paun Time >0 OC. Ho: Pun Time <0 OD. Ho: Pun Time 0 b) What is the t-statistic corresponding to this test? (Type an integer or a decimal. Do not round.) c) Why is this t-statistic negative? The t-statistic is negative because the
d) What is the P-value corresponding to this t-statistic? (Type an integer or a decimal. Do not round.) e) Complete the hypothesis test using a =0.05. Do you reject the null hypothesis? OA Fail to reject Ho. There is insufficient evidence that the coefficient of Run Time is different from 0. OB. Reject Ho. There is sufficient evidence that the coefficient of Run Time is different from 0. OC. Fall to reject Ho. There is sufficient evidence that the coefficient of Run Time is different from 0. OD. Reject Ho. There is insufficient evidence that the coefficient of Run Time is different from 0.