![]() ![]() If the R 2 is 0, the linear regression model doesn’t allow you to predict exam scores any better than simply estimating that everyone has an average exam score.Example: Coefficient of determinationImagine that you perform a simple linear regression that predicts students’ exam scores (dependent variable) from their time spent studying ( independent variable). Put simply, the better a model is at making predictions, the closer its R² will be to 1. The lowest possible value of R² is 0 and the highest possible value is 1. The outcome is represented by the model’s dependent variable. The coefficient of determination ( R²) measures how well a statistical model predicts an outcome. What is the coefficient of determination? Frequently asked questions about the coefficient of determination.Reporting the coefficient of determination. ![]()
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