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What is R² vs Adjusted R² in Regression Analysis about?

R² and adjusted R² are metrics used in linear regression to assess how well independent variables explain the variability in a dependent variable. While R² always increases with more predictors, adjusted R² accounts for the number of predictors and can decrease if new variables do not significantly improve the model, making it a better measure of model strength. Adjusted R² is particularly useful in multiple regression to avoid overfitting and ensure model quality.

Author

seraphmuinde

Language

EN