Analysis of the Relationship between NBA Player Salary and Their On-Court Performances

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.

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Publication Details

Journal
Theoretical and Natural Science
Published
2024-09-27
DOI
https://doi.org/10.54254/2753-8818/51/2024ch0147
Primary Topic
Sports Analytics and Performance
Type
article
Field-Weighted Citation Impact
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article

Analysis of the Relationship between NBA Player Salary and Their On-Court Performances

Zijian Yang
Theoretical and Natural Science
Sports Analytics and Performance
article

Analysis of the Relationship between NBA Player Salary and Their On-Court Performances

Zijian Yang
article en

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.

Theoretical and Natural ScienceVol. 51(1)
University College London (GB)
Openalex Percentile: Top 79%
Sports Analytics and Performance
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Analysis of the Relationship between NBA Player Salary and Their On-Court Performances — Zijian Yang · Theoretical and Natural Science (2024) | TGRS Research Map | TGRS