Date of Award

4-24-2023

Document Type

Thesis

Department

Accountancy

First Reader

Dr. James Files

Second Reader

Dr. Marshall Horton

Third Reader

Dr. Kathy Collins

Abstract

This paper examines the feasibility of using statistics to predict win values for major league baseball. Definite correlations were discovered between a Major League organization’s finances and on-field performance. Stated correlations are used to generate a predictive model that will predict on-field outcomes. Using regression analysis, such a model is construed, and successfully predicted win ratios for Major League Baseball organizations using only available past financial data.

Creative Commons License

Creative Commons Attribution-NonCommercial 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.