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 (x1), singles (x2), doubles (x3), triples (x4), home runs (x5), stolen bases (x6), times caught stealing (x7), strike-outs (x8), and ground outs (x9) for each of the 30 teams during the 2017 MLB season, a first-order model for total number of runs scored (y) was fit. You will have to run the analysis as in Fitness and answer questions. a) Write the least squares prediction equation for y