The assumption of homoscedasticity is that . the range of the Y scores is the same as the X scores the X and Y distributions have the same mean values the variability of Y doesn't change over the X scores the variability of the X and Y distributions is the same

The assumption of homoscedasticity is that "the variability of Y doesn't change over the X scores."

Step-by-step explanation:

The assumptions of linear regression are:

The assumption of homoscedasticity implies that the variance of the dependent variable Y, across the regression line does not changes for all values of the predictor variable X.

Thus, the complete statement is:

The assumption of homoscedasticity is that "the variability of Y doesn't change over the X scores."

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step-by-step explanation: