Discussion
The assumption that the variance of the residuals about the predicated dependent variable scores should be same for all predicted scores reflects :
Answer: D
Equal variance of the residuals across predicted values is homoscedasticity.
Homoscedasticity is an assumption of linear regression: the spread of the residuals around the regression line should be the same at all levels of the predicted dependent variable. When the spread fans out or narrows as the predicted value changes, the data are heteroscedastic, and the standard errors of the coefficients become unreliable.
Normality is the assumption that the residuals are normally distributed. Multicollinearity is high correlation among the independent variables. Homogeneity (of variance) is the related assumption for comparing groups, as in ANOVA, not the regression term asked for.
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