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Answer: A measure of the dispersion between observed dependent variable values and those predicted by the regression.
**Explanation:** - **Option A** is incorrect because the standard error of the estimate is not a relative measure of fit. Unlike metrics such as the coefficient of determination or the F-statistic, it provides an absolute measure of the distance between observed values of the dependent variable and the regression line. - **Option B** is incorrect because it describes the coefficient of determination (R-squared), which quantifies the percentage of the dependent variable's variation explained by the independent variable. The standard error of the estimate does not serve this purpose. - **Option C** is correct because the standard error of the estimate directly measures the dispersion between the observed values of the dependent variable and those predicted by the regression model. This aligns with its role in assessing the accuracy of the regression predictions.
Author: LeetQuiz Editorial Team
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The standard error of the estimate in a simple linear regression is most accurately described as:
A
A relative measure of fit for the regression.
B
The proportion of the dependent variable's variation explained by the independent variable.
C
A measure of the dispersion between observed dependent variable values and those predicted by the regression.
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