Which of the following is not correct about "R-squared" in regression analysis? Multiple Choice R-squared explains how much of the variability in x is explained by y. R-squared is a measure of "goodness of fit" of the model. An R-squared value of 1.0 indicates a perfect fit of the model. R-squared explains how much of the variability in y is explained by x