Student Solutions Manual for Basic Business Statistics
Student Solutions Manual for Basic Business Statistics
13th Edition
ISBN: 9780321926708
Author: David M. Levine; Mark L. Berenson; Timothy C. Krehbiel; Kathryn A. Szabat; David F. Stephan
Publisher: Pearson Education
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Chapter 15, Problem 29PS

A specialist in baseball analytics has expanded his analysis. presented in Problem 14.81 on page 586, of which variables are important in predicting a team’s wins in a given baseball season. He has collected data in BB2012 related to wins, ERA, saves, runs scored, hits allowed, walks allowed, and errors for the 2012 season.

a. Develop the most appropriate multiple regression model to predict a team’s wins. Be sure to include a thorough residual and influence analysis. In addition, provide a detailed explanation of the results.

b. Develop the most appropriate multiple regression model to predict a team’s ERA on the basis of hits allowed, walks allowed, errors, and saves. Be sure to include a thorough residual and influence analysis. In addition. provide a detailed explanation of the results.

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Student Solutions Manual for Basic Business Statistics

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