We propose a statistical model that identifies the variables having the most significant effects in determining the possible.
📌 3 Key Takeaways
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Objective & Hypothesis:The National Basketball Association (NBA) is one of the most popular and well-established men's professional basketball leagues in the world.
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Key Findings & Data:The main objective of this study was to classify the performances of teams in the NBA using linear discriminant analysis and logistic regression analysis.
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Conclusion & Impact:We propose a statistical model that identifies the variables having the most significant effects in determining the possible.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:NBA teams · Playoff · Discriminant Analysis
Abstract
The National Basketball Association (NBA) is one of the most popular and well-established men's professional basketball leagues in the world. NBA players are considered not only to be the most proficient players but also among the world’s best paid sportsmen. The intense competition among players and teams in the league lends importance to the use of sports statistics in interpreting individuals’ and teams’ levels of success. The main objective of this study was to classify the performances of teams in the NBA using linear discriminant analysis and logistic regression analysis. We propose a statistical model that identifies the variables having the most significant effects in determining the possible.
ERGÜL, B. (2014). CLASSIFICATION OF NBA LEAGUE TEAMS USING DISCRIMINANT AND LOGISTIC REGRESSION ANALYSES. Pamukkale Journal of Sport Sciences, Cilt: 5 Sayı: 1, 48–60. https://ajindex.com/articles/931798
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