The number of victories (W), earned run average (ERA), runs scored (R), batting average (AVG), and on base percentage (OBP) for each team in the American League in the 2012 season are provided in the following table. The ERA is one measure of the effectiveness of the pitching staff, and a lower number is better. The other statistics are measures of effectiveness of the hitters, and higher numbers are better for each of these.
(a) Develop a regression model that could be used to predict the number of victories based on the ERA.
(b) Develop a regression model that could be used to predict the number of victories based on the runs scored.
(c) Develop a regression model that could be used to predict the number of victories based on the batting average.
(d) Develop a regression model that could be used to predict the number of victories based on the onbase percentage.
(e) Which of the four models is better for predicting the number of victories?
(f) Find the best multiple regression model to predict the number of wins. Use any combination of the variables to find the bestmodel.
Solution:
Download free solution (doc)
