What is the key difference between R squared and adjusted R squared and regression analysis R squared is used for linear regression while adjusted our square is used for logistic regression or squared is a biased estimator while adjusted our square is a non$-$linear estimator our square always increases with the addition of more predictors while adjusted our can decrease our Square measures the goodness of fit while adjusted our measures the accuracy of predictions