Of the values of the coefficient of determination listed below, which one implies the greatest value of the sum of squares for regression, given that the total variation in y is 1800? $\begin{array}{|l|l|}
\hline\text { A. } & 0.69 . \
\hline \text { B. } & 0.96 . \
\hline \text { C. } & 96 . \
\hline \text { D. } & -100 . \
\hline
\end{array}$

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The Answer of Of the values of the coefficient of determination listed below, which one implies the greatest value of the sum of squares for regression, given that the total variation in y is 1800? $\begin{array}{|l|l|}
\hline\text { A. } & 0.69 . \
\hline \text { B. } & 0.96 . \
\hline \text { C. } & 96 . \
\hline \text { D. } & -100 . \
\hline
\end{array}$

Of the Values of the Coefficient of Determination Listed Below