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Summary

Key Predictors: Points scored and assists showed the strongest positive correlation with the number of wins, indicating offensive performance drives team success.

Model Accuracy: The multiple regression model explained more variance in wins than the simple model, improving prediction accuracy.

Practical Insight: To increase wins, the team should focus on improving scoring efficiency and playmaking (assists) while minimizing turnovers.

Explanation:

Regression Analysis Report Basketball Team

Introduction This project builds regression models to predict the number of wins for a basketball team using team performance metrics. We performed scatterplot analyses, correlation checks, a simple linear regression using the single strongest predictor, and a multiple linear regression using a subset of numeric predictors. The goal is to identify which performance metrics are most associated with wins and provide practical recommendations for coaches and management.

Scatterplots and Correlation We produced scatterplots for each numeric predictor against wins, and computed a correlation matrix. The variable most strongly correlated with wins is 'points' (|corr| = 0.425).