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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.
