When heteroscedasticity exists,the problem with r is that it

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Heteroscedasticity refers to the condition where the variability of a variable is unequal across the range of values of a second variable that predicts it. When heteroscedasticity exists, the problem with the correlation coefficient (r) is that it does not accurately describe the strength of the relationship for all values of X, because r assumes a constant spread (homoscedasticity) for these relationships across the range of X.

When Heteroscedasticity Exists,the Problem with R Is That It