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Which of the following statements regarding heteroskedasticity is least accurate? A. Heteroskedasticity results in an estimated variance that is too small and, therefore, affects statistical inference. B. The assumption of linear regression is that the residuals are heteroskedastic. C. Heteroskedasticity may occur in cross-sectional or time-series analyses. |