R-squared (R²) Explained:

R-squared, also known as the coefficient of determination, measures the proportion of variance in the dependent variable that's explained by the independent variables in a regression model.

Interpretation of 0.956:

An R² of 0.956 means that approximately 95.6% of the variation in the dependent variable can be attributed to the model's predictors.

Reply to this note

Please Login to reply.

Discussion

No replies yet.