Regression Analysis, R Squared, Pseudo R Squared, Adjusted R Squared, Deviance.
Residual Error (Image by Author) In the above plot, one can see that the residual error (y_i — y_pred_i)² is less than the total error (y_i — y_mean)². It can be shown that if you fit a Linear Regression Model to the above data by using the OLS technique, i.e. by minimizing the sum of squares of