The smallest value that the standard error of estimate s _{$\varepsilon$} can assume is: A) -1 B) 0 C) 1 D)-$\infty$

Name: The smallest value that the standard error of estimate s $\varepsilon$ can assume is: A) -1 B) 0 C) 1 D)-$\infty$
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The smallest possible value for the standard error of estimate is zero, which occurs when there is a perfect linear relationship between the independent and dependent variables, meaning that the predicted values perfectly match the actual observed values.

The Smallest Value That the Standard Error of Estimate S ε\varepsilonε

The Smallest Value That the Standard Error of Estimate S $\varepsilon$