Consider the following ANOVA table for a multiple regression model. Complete parts a through e below. Source df SS MS F Regression 2 2.250 1125 15 Residual 30 2.250 75 Total 32 4,500 a. What is the size of this sample? n = b. How many independent variables are in this model? k = c. Calculate the multiple coefficient of determination. R2 = (Round to four decimal places as needed.) d. Test the significance of the overall regression model using a = 0.10. What are the null and alternative hypotheses for this test? O A. Hy: All B #0 (Relationship exists between the variables) Hy: All p =0 (No relationship between the variables) O B. Ho: All , =0 (No relationship between the variables) Hy: At least one #0 (Relationship exists between the variables) O C. He: At least one #0 (Relationship exists between the variables) Hy: All p =0 (No relationship between the variables) O D. He: All , =0 (No relationship between the variables) Hy: All , #0 (Relationship exists between the variables)Identify the value of the test statistic. F= Calculate the p-value. The p-value is (Round to three decimal places as needed.) What is the conclusion for this test? O A. Since the p-value is less than a, reject the null hypothesis. The overall regression model is significant at the a = 0.10 significance level. O B. Since the p-value is less than a, reject the null hypothesis. The overall regression model is not significant at the a = 0.10 significance level. O C. Since the p-value is greater than o, do not reject the null hypothesis. The overall regression model is significant at the o = 0.10 significance level. O D. Since the p-value is greater than a, do not reject the null hypothesis. The overall regression model is not significant at the a = 0.10 significance level. e. Calculate the adjusted multiple coefficient of determination. R? = (Round to four decimal places as needed.)