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Multiple Linear Regression Analysis of the Lakers 21-22 Regular Season - assessing if 5 key predictors (FT%, FG%, games played, personal fouls, steals, and blocks) are good indicators of PPG performance during the regular season.

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Multiple Linear Regression of the 2021-2022 Lakers Regular Season

The goal of this MLR analysis of the 2021-2022 Lakers season is to assess whether effective field goal percentage, free throw percentage, games played, personal fouls, steals, and blocks are good indicators of points per game performance during the season.

Description

As the value of sports teams increases and technical analytics advances, many find that basketball analytics is a burgeoning field of research for application of these avenues. From sports betting to predicting player performance using aggregate data provided by many basketball sources such as NBA.com or Basketball-reference.com, many statisticians and analysts are clamoring to use modeling to their advantage.

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Acknowledgements

  • Thank you to Dr. Kerr from CSUEB
  • Introduction adapted from final paper

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Multiple Linear Regression Analysis of the Lakers 21-22 Regular Season - assessing if 5 key predictors (FT%, FG%, games played, personal fouls, steals, and blocks) are good indicators of PPG performance during the regular season.

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