R² Ajustado
- Created by
- Renato Passos, Eng. de Software
- Reviewed by
- Renato Passos, Eng. de Software
Last updated: Apr 18, 2026
About this calculator
The R² adjusted calculator is a useful tool for statisticians and researchers working with sampling. It helps to calculate the accuracy of a statistical model adjusting the variance of the residuals.
The formula to calculate the R² adjusted is 1−(1−R²)(n−1)/(n−k−1), where R² is the coefficient of determination, n is the sample size, and k is the number of independent variables.
The R² adjusted is important to avoid overfitting, that is, when a model is adjusted too much for the training data and does not generalize well to new data. It is recommended to use the R² adjusted instead of the simple R² to evaluate the accuracy of a statistical model.
This calculator is useful in various areas of statistics, such as analysis of variance, linear regression, and qualitative data analysis. Remember that the R² adjusted is only one measure of accuracy and is not sufficient to confirm the validity of a statistical model.
Frequently asked questions
What is the R² adjusted?
The R² adjusted is a measure of accuracy of a statistical model that adjusts the variance of the residuals.
When to use the R² adjusted?
The R² adjusted should be used instead of the simple R² to avoid overfitting and evaluate the accuracy of a statistical model.
What is overfitting?
Overfitting occurs when a model is adjusted too much for the training data and does not generalize well to new data.
Why is it important to use the R² adjusted?
The R² adjusted is important because it helps to avoid overfitting and to evaluate the accuracy of a statistical model in a more precise way.
Where can I use the R² adjusted?
The R² adjusted can be used in various areas of statistics, such as analysis of variance, linear regression, and qualitative data analysis.