
Research on the influencing factors of the value of NBA players
- 1 North Cross School Shanghai, Shanghai, 200000, China
* Author to whom correspondence should be addressed.
Abstract
NBA players are among the highest-paid athletes globally. Salaries can range from league minimums of around $1 million per year for new or less experienced players to over $40 million annually for superstars. In addition to salaries, players can earn significant amounts from endorsements and other business ventures. Researching NBA players’ salaries is important for several reasons: Understanding how player salaries affect the overall economy of the sport; Insights into how talent is valued and compensated in a highly competitive industry; Teams must strategically manage their payroll to stay within salary cap limits while building competitive rosters. This article will use multiple linear regression model to analyze some factors such as turnover, age, points, personal fault, block, total rebound, assist, and effective Field Goal percentage that relate to NBA player salaries from 2022-23 season. Model shows the model of R value of 0.485. All factor (turnover, age, points, personal fault, block, total rebound, assist, effective Field Goal percentage) can explain 48.5% of the Salary change. In addition, Age and Points Per Game (PTS) have a significant positive impact on a player’s salary. This indicates that both a player’s age and their ability to score points are crucial determinants of their earning potential in the NBA.
Keywords
Multiple linear regression model, NBA players, salary.
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Cite this article
Shi,C. (2024). Research on the influencing factors of the value of NBA players. Theoretical and Natural Science,51,80-84.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of CONF-MPCS 2024 Workshop: Quantum Machine Learning: Bridging Quantum Physics and Computational Simulations
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