Suppose a statistician built a multiple regression model for predicting the total number of runs scored...

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Suppose a statistician built a multiple regression model for predicting the total number of runs scored by a baseball team during a season. Use the estimates to predict the number of runs scored by a team with 322 walks, 735 singles, 218 doubles, 27 triples, and 112 home runs. Ind. Var. Intercept estimate Standard Error 3.33 19.16 Walks (1) 0.39 0.04 Singles (x2) 0.54 0.06 Doubles (x3) 0.74 0.05 Triples (4) 1.06 0.19 Home Runs (5) 1.43 0.02 The model predicts runs for the season. (Round to the nearest whole number as needed.) Suppose a statistician built a multiple regression model for predicting the total number of runs scored by a baseball team during a season. Use the estimates to predict the number of runs scored by a team with 322 walks, 735 singles, 218 doubles, 27 triples, and 112 home runs. Ind. Var. Intercept estimate Standard Error 3.33 19.16 Walks (1) 0.39 0.04 Singles (x2) 0.54 0.06 Doubles (x3) 0.74 0.05 Triples (4) 1.06 0.19 Home Runs (5) 1.43 0.02 The model predicts runs for the season. (Round to the nearest whole number as needed.)