Q 12.14 PREDICTING RUNS SCORED IN MLBRUHS 2019 BASEBALL. Consider a multiple-regression model for predicting the total number of runs scored by a Major League Baseball (MLB) team during a season. Using data on number of walks (m1), singles (3:2), doubles (3:3).J triples (334), home runs (:25), stolen bases (3.36), times caught stealing (m7), strike outs (mg), and ground outs (mg) for each of the 30 teams during the 2019 MLB season, a lstorder model for total number of runs scored (y) was t. The results are shown in the Minitab printout (next column). a. Write the least squares prediction equation for 'y : total number of runs scored by a team during the 2019 season. b. Give practical interpretations of the beta estimates. c. Conduct a test of H0: ,37 = 0 against Ha: '67