Analyzing relationships between variables and predicting outcomes
What is the coefficient of determination (R²)?
The proportion of variance in the dependent variable that is explained by the independent variable(s) in the model.
Example: R² = 0.75 means the model explains 75% of the variance in Y
Note: Range: 0 to 1; higher = better fit; R² = r² for simple regression; adjusted R² penalizes adding unnecessary predictors
