When all the actual values of y and the predicted values of y are equal, the standard error of estimate will be: $\begin{array}{|l|l|}
\hline\text { A. } & 1.0 \
\hline \text { B. } & -1.0 \
\hline \text { C. } & 0.0 \
\hline \text { D. } & 2.0 \
\hline
\end{array}$

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The Answer of When all the actual values of y and the predicted values of y are equal, the standard error of estimate will be: $\begin{array}{|l|l|}
\hline\text { A. } & 1.0 \
\hline \text { B. } & -1.0 \
\hline \text { C. } & 0.0 \
\hline \text { D. } & 2.0 \
\hline
\end{array}$

When All the Actual Values of Y and the Predicted