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 CE  Vol.6 No.14 , August 2015
Using Baseball Data as a Gentle Introduction to Teaching Linear Regression
Abstract: This effort describes a successful classroom exercise to introduce simple and multiple linear regression to working professional MBA students. The exercise starts by exploring the relationship between a baseball team’s payroll with its winning percentage. The exercise then continues with the introduction of additional predictor variables so that the students are able to build a strong predictive model for winning percentage. Student feedback consistently praises the exercise as an effective way to learn about linear regression.
Cite this paper: McMullen, P. (2015) Using Baseball Data as a Gentle Introduction to Teaching Linear Regression. Creative Education, 6, 1477-1483. doi: 10.4236/ce.2015.614148.
References

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[2]   Hoaglin, D., & Velleman, P (1995). A Critical Look at Some Analyses of Major League and Baseball Salaries. The American Statistician, 49, 277-285.

[3]   USA Today.
http://www.usatoday.com/sports/mlb/salaries/2013/team/all/

[4]   Lewis, M. (2003). Moneyball: The Art of Winning an Unfair Game. New York: W. W. Norton & Company.

[5]   Watnik, M. R. (1988). Pay for Play: Are Baseball Salaries Based on Performance? Journal of Statistics Education, 6.

 
 
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