The variance of the error variable
is required to be constant.When this requirement is satisfied, the condition is called homoscedasticity.
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Q10: When the variance Q246: If the plot of the residuals vs.the Q248: One method of diagnosing heteroscedasticity is to Q255: We check for normality by drawing a Q257: The plot of residuals vs.predicted values should Q264: If the plot of the residuals is Q265: When the error variable does not have Q269: Error terms that are autocorrelated _ (are/are Q271: We check for normality by drawing a(n)_ Q273: If you take the residuals,subtract their mean![]()
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