Which of the following is not correct about "r square" in regression analysis? r square is a measure of "goodness of fit" of the model. an r square value of 1.0 indicates a perfect fit of the model. r square explains how much of the variability in x is explained by y. r square explains how much of the variability in y is explained by x.