Suppose you fit a regression model predicting values of Y based on values of X. If you switched X and Y so that you are now predicting values of X, how would your analysis differ, if at all?

Group of answer choices

You would be modeling the expected mean of X given values of Y

You would be modeling the covariance of X instead of the covariance of X and Y

You would be modeling the expected mean of Y given values of X

You would be modeling the coefficient of determination for only Y