Correlation and Regression

Concept:In regression, the lines of $y$ on $x$ and $x$ on $y$ are generally distinct.Explanation:The two regression lines are used to predict one variable from the other.They are different unless the correlation coefficient $r = \pm 1$, i.e., perfect linear relationship.Thus, they are not reversible (the equation for $y$ on $x$ cannot be algebraically rearranged to give the $x$ on $y$ line).Answer: