Date
Spring 5-11-2021
Document Type
Thesis
Abstract
When a player is a free agent, an individual who is able to sign to any team, one wonders what their best option is. Will signing with Team A or Team B provide them with the largest salary? What factors will affect their salary the most? Does last year’s statistics have a strong impact on next year’s salary? These questions can be answered by performing a regression analysis on previous years data. The primary focus of this project is to determine the most important variables related to an NBA salary. Likewise, the statistical programs SAS and R will be compared in their efficiency along with the importance of using two programs. Additionally, a comprehensive guideline of completing a regression analysis will be developed. Specifically, the use of a Box-Cox Transformation will be considered along with the use of t-Tests, a Breusch- Pagan test (constant variance), and many more statistical tests and methods.
Thesis Comittee
Dr. Uma Shama, Thesis Advisor
Dr. Wanchunzi Yu, Thesis Advisor
Dr. Mahmoud El-Hashash, Committee Member
Copyright and Permissions
Original document was submitted as an Honors Program requirement. Copyright is held by the author.
Recommended Citation
Milligan, Sarah. (2021). Guidelines for Regression Analysis in SAS and R: A Case Study. In BSU Honors Program Theses and Projects. Item 572. Available at: https://vc.bridgew.edu/honors_proj/572
Copyright © 2021 Sarah Milligan