Refer to the study of runs scored in Major League Baseball games, Exercise 12.14. Multiple regression was used to model total number of runs scored (y) of a team during the season as a function of number of walks (x1), number of singles (x2), number of doubles (x3), number of triples (x4), number of home runs (x5), number of stolen bases (x6), number of times caught stealing (x7), number of strikeouts (x8), and total number of outs (x9). Using the b estimates given in Exercise 12.14, predict the number of runs scored by your favorite Major League Baseball team last year. Use statistical software to form a 95% prediction interval for your prediction. Does the actual number of runs scored by your team fall within the interval?