The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...

Automated multiple regression model-building techniques often hide important aspects of data from the data analyst. Such features as nonlinearity, collinearity, outliers, and points with high leverage ...