This question evaluates understanding of simple linear regression theory, specifically the algebraic relationship between the slope of Y on X and the slope of X on Y, interpretation of R^2, sign implications, and behavior under standardization, testing statistical reasoning competency in the Statistics & Math domain.
You fit an ordinary least squares (OLS) simple linear regression with an intercept of Y on X, obtaining the slope β_Y|X and the coefficient of determination R^2 (for that regression). Without refitting a new model, determine the slope β_X|Y from regressing X on Y.
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