juniorLinear Regression
What is R-squared in Linear Regression?
Updated May 16, 2026
Short answer
R-squared measures how well the model explains variance in the target variable.
Deep explanation
It ranges from 0 to 1 and indicates the proportion of variance explained by predictors. Higher values mean better fit but not necessarily better generalization.
Real-world example
Evaluating housing price prediction models.
Common mistakes
- Over-relying on R² without checking residuals.
Follow-up questions
- What is adjusted R-squared?