What does the multiple standard error of estimate measure? A)The change in Ŷ for a change in X₁ B)The variability of the residuals C)The regression mean square error in the ANOVA table D)The amount of explained variation

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Quizplus · Accepted Answer

Multiple standard error of estimate measures the variability of the residuals, which are the differences between the predicted values and the actual values. It shows how well the regression line fits the data points and how much the actual values deviate from the predicted values. It is also used to assess the accuracy and precision of the predictions made by the regression model. A larger multiple standard error of estimate indicates that there is more variability in the data and the model may not be a good fit for the data.

What Does the Multiple Standard Error of Estimate Measure