Predicting NBA Players’ Salary in the Free Agency
An example of underpaid and overpaid cases in the NBA
Project Summary
- Developed a team-customized hierarchical linear regression model using R to predict NBA players’ salary based on traditional, advanced statistics, and teams’ salary cap over the past 10 years, achieving a testing accuracy of 77%.
- Analyzing the overpaid and low-balled cases and identifying the metrics that need to be additionally considered to further explore the topic.