Given that the sum of squares for error is 50 and the sum of squares for regression is 140, the coefficient of determination is: $\begin{array}{|l|l|}
\hline\text { A. } & 0.736 . \
\hline \text { B. } & 0.357 . \
\hline \text { C. } & 0.263 . \
\hline \text { D. } & 2.800 . \
\hline
\end{array}$

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The Answer of Given that the sum of squares for error is 50 and the sum of squares for regression is 140, the coefficient of determination is: $\begin{array}{|l|l|}
\hline\text { A. } & 0.736 . \
\hline \text { B. } & 0.357 . \
\hline \text { C. } & 0.263 . \
\hline \text { D. } & 2.800 . \
\hline
\end{array}$

Given That the Sum of Squares for Error Is 50