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Analysis of the Relationship between NBA Player Salary and Their On-Court Performances
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Abstract
This research attempts to investigate the connection between NBA player salary and on-court performance. By collecting and analyzing NBA player salary data and related game statistics, some interesting trends and correlations are found. Through scatter plots, error-bar, bar chart and clustered line showing the direct relationships between the factors of players’ performance and their salaries. In addition, the importance of the independent and dependent variables is examined using correlation analysis in order to judge their positive or negative relationships. Linear Regression model could show the level of influencing on the variables. The results of the study show that some highly paid players perform well in the game. Further statistical analysis shows that players’ score attempt is not the only factor affecting their salaries, and factors such as assists and blocks made per game also play an important role. These findings have implications for managers, players and fans, and help to better understand and evaluate the true value of players.
Keywords
Player salary, correlation analysis, linear regression model
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Cite this article
Yang,Z. (2024). Analysis of the Relationship between NBA Player Salary and Their On-Court Performances. Theoretical and Natural Science,41,51-58.
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 the 2nd International Conference on Mathematical Physics and Computational Simulation
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