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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
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?
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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
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