Adjusted R squared is particularly useful in the following scenarios:
When comparing multiple regression models with different numbers of predictors to determine which model performs better. In studies involving multivariable analysis, where several risk factors are being evaluated simultaneously. To ensure that the model is not overfitting the data by including too many predictors that do not improve the model substantially.
