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Model Prediction of Factors Influencing NBA Players’ Salaries Based on Multiple Linear Regression

In: Proceedings of the 2022 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022)

Author

Listed:
  • Yang Zhao

    (Southwest University, School of Mathematics and Statistics)

Abstract

With the commercialization of sports, the main concern of the various leagues is how much to pay a player, especially a star player or superstar. This paper uses the NBA league as an example to investigate the main factors affecting players’ salary levels. 14 indicators such as height, weight and Win Share of players who played more than or equal to 10 times in the NBA league in the 2017–2018 season were selected. The aim is to build a regression model to select the independent variables that have a significant effect on the salary level. The result shows that NBA players’ individual abilities have a strong positive relationship with their salaries and their team-related indicators do not have a significant impact on their salaries. Finally, based on the NBA players’ salary model, some suggestions on salary management were provided to the Chinese Basketball Association.

Suggested Citation

  • Yang Zhao, 2022. "Model Prediction of Factors Influencing NBA Players’ Salaries Based on Multiple Linear Regression," Advances in Economics, Business and Management Research, in: Yushi Jiang & Yuriy Shvets & Hrushikesh Mallick (ed.), Proceedings of the 2022 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022), pages 1439-1445, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-036-7_213
    DOI: 10.2991/978-94-6463-036-7_213
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