R² Ajustado
- Created by
- Renato Passos, Eng. de Software
- Reviewed by
- Renato Passos, Eng. de Software
Last updated: Apr 18, 2026
Formula
R² ajustado
About this calculator
The R² adjusted calculator is a useful tool to evaluate the quality of a linear regression model. The R² adjusted is a measure that corrects the original R² to avoid overestimating the model's quality when the number of predictor variables is large compared to the number of observations.
The formula to calculate the R² adjusted is R²_adj = 1 − (1−R²)(n−1)/(n−k−1), where R² is the explained variance, n is the number of observations, and k is the number of predictor variables.
It's worth using the R² adjusted instead of the original R² when working with linear regression models, as this helps to avoid overestimating the model's quality.
Here, you can calculate the R² adjusted using the formula above and check the quality of your linear regression model.
Frequently asked questions
What is the R² adjusted?
The R² adjusted is a measure that corrects the original R² to avoid overestimating the quality of the linear regression model.
When to use the R² adjusted?
Use the R² adjusted instead of the original R² when working with linear regression models with a large number of predictor variables.
How to calculate the R² adjusted?
The R² adjusted is calculated using the formula R²_adj = 1 − (1−R²)(n−1)/(n−k−1), where R² is the explained variance, n is the number of observations, and k is the number of predictor variables.