4 points Save According to the multiple regression model to predict the number o

Question

4 points Save According to the multiple regression model to predict the number of victories (W) based on earned run average (ERA), runs scored (R), batting average (AVG), and on-base percentage (OBP) for each team in American League in the 2012 season shown below, what is the predicted number of victories (W) when earned run average (ERA) is 4.12, runs scored (R) is 728, batting average (AVG) is 0.256, and on-base percentage (OBP) is 0.306. (Round to three decimal places.) Coefficients Standard Error tStat P-value 39.025 2.973 0.016 3.413 4.700 0.001 .043 3.205 0.011 220.381 0.560 0.589 204.779 1.508 0.166 Intercept 116.014 -16.042 0.138 AVG 08.895 5.27887 R-sqs 83.96%

Explanation / Answer

We have to predict the number of wickets

W = a+bx1+cx2+dx3+ex4

W = 116.014 - 16.042(4.12) + 0.138 ( 728) + 123.486 (0.256) - 308.895(0.306)

W = 87.4755

W = 87.476

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