The problem facing a manager is to assess the impact of factors on full-time job growth. Specifically, the manager is interested in the impact of total worldwide revenues and full-time voluntary turnover on the number of full-time jobs added in a year. Data were collected from a sample of 91 "best companies to work for" and a multiple linear regression model was found, using the total number of full-time jobs added in the past year, total worldwide revenue (in $millions), and the full-time voluntary turnover (%). Use the accompanying results to complete parts (a) and (b) below. Standard Variable Coefficient Error t Statistic p-value Intercept - 185.19844 254.36215 - 0.73 0.4685 Revenue, X1 0.04269 0.01026 4.16 0.0001 Turnover, X2 49.65111 22.54852 2.20 0.0303 a. Construct a 95% confidence interval estimate of the population slope between the number of full-time jobs added and total worldwide revenue. Round to four decimal places as needed.)b. At the 0.05 level of significance, determine whether each independent variable makes a significant contribution to the regression model. On the basis of these results, indicate the independent variables to include in this model. Choose the correct hypotheses for X, below. O A. Ho: P1 # 1 OB. Ho: P1 = 0 Hy : P1 = 1 Hy : B1 # 0 O C. Ho: B1 #0 O D. Ho: B1 = 1 Hy: P1 = 0 Hy: By # 1Find the test statistic for X, . tSTAT = (Type an integer or a decimal. Do not round.) Determine the p-value for X1 - p-value = (Type an integer or a decimal. Do not round.) Reach a conclusion for X,. Ho. There sufficient evidence that X, makes a significant contribution to the regression model.Choose the correct hypotheses for X2 below. O A. Ho: P2 # 1 OB. Ho: P2 # 0 Hy : P2 = 1 Hy : B2 = 0 O C. Ho: P2 = 1 OD. Ho: B2 = 0 Hy : B2 # 1 Hy: B2 #0 Find the test statistic for X2. tSTAT (Type an integer or a decimal. Do not round.)Determine the p-value for X2- p-value = (Type an integer or a decimal. Do not round.) Reach a conclusion for X2. Ho. There sufficient evidence that X, makes a significant contribution to the regression model.On the basis of these results, indicate the independent variables to include in this model. Choose the correct answer below. O A. Include neither variable X, nor variable X2. O B. Include only the variable X1- O C. Include only the variable X2- O D. Include both variables X, and X2