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Analysis of salary for Major League ...

Hoffman, Michael Glenn.

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Analysis of salary for Major League Baseball players.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Analysis of salary for Major League Baseball players./
作者:	Hoffman, Michael Glenn.
面頁冊數:	47 p.
附註:	Source: Masters Abstracts International, Volume: 52-06.
Contained By:	Masters Abstracts International52-06(E).
標題:	Statistics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1556141
ISBN:	9781303907340

Analysis of salary for Major League Baseball players.
Hoffman, Michael Glenn.

Analysis of salary for Major League Baseball players. - 47 p.

Source: Masters Abstracts International, Volume: 52-06.

Thesis (M.S.)--North Dakota State University, 2014.

This item must not be sold to any third party vendors.

This thesis examines the salary of Major League Baseball (MLB) players and whether players are paid based on their on-the-field performance. Each salary was examined on both the yearly production and the overall career production of the player. Several different production statistics were collected for the 2010--2012 MLB seasons. A random sample of players was selected from each season and separate models were created for position players and pitchers. Significant production statistics that were helpful in predicting salary were selected for each different model. These models were deemed to be good models having a predictive r-squared value of at least 0.70 for each of the different models. After the regression models were found, the models were tested for accuracy by predicting the salaries of a random sample of players from the 2013 MLB season.

ISBN: 9781303907340Subjects--Topical Terms:

517247
Statistics.

Analysis of salary for Major League Baseball players.
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520 $a This thesis examines the salary of Major League Baseball (MLB) players and whether players are paid based on their on-the-field performance. Each salary was examined on both the yearly production and the overall career production of the player. Several different production statistics were collected for the 2010--2012 MLB seasons. A random sample of players was selected from each season and separate models were created for position players and pitchers. Significant production statistics that were helpful in predicting salary were selected for each different model. These models were deemed to be good models having a predictive r-squared value of at least 0.70 for each of the different models. After the regression models were found, the models were tested for accuracy by predicting the salaries of a random sample of players from the 2013 MLB season.
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