Of the Values of the Coefficient of Determination Listed Below

Short Answer

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? $\begin{array}{|l|l|}\hline\text { A. } & 0.69 . \\\hline \text { B. } & 0.96 . \\\hline \text { C. } & 96 . \\\hline \text { D. } & -100 . \\\hline\end{array}$