The smallest value that the standard error of estimate $S _ { \varepsilon }$ can assume is: $\begin{array}{|l|l|}
\hline\text { A. } & -1 \
\hline \text { B. } & 0 . \
\hline \text { C. } & 1 . \
\hline \text { D. } & -2 . \
\hline
\end{array}$

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The Answer of The smallest value that the standard error of estimate $S _ { \varepsilon }$ can assume is: $\begin{array}{|l|l|}
\hline\text { A. } & -1 \
\hline \text { B. } & 0 . \
\hline \text { C. } & 1 . \
\hline \text { D. } & -2 . \
\hline
\end{array}$

The Smallest Value That the Standard Error of Estimate SεS _ { \varepsilon }Sε​

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