Which of the Following Best Describes the Coefficient of Determination

Which of the following best describes the coefficient of determination? $\begin{array}{|l|l|}\hline\text { A. } & \text { The coefficient of determination describes the percentage of variation in the \( \mathrm{x} \)}\\&\text { variable explained by the linear regression model on the y variable.}\\\hline \text { B. } & \text { The coefficient of determination describes the direction of variation in the \( y \) variable} \\&\text { explained by the linear regression model on the \( \mathrm{x} \) variable. }\\\hline \text { C. } &\text {The coefficient of determination describes the percentage of variation in the v variable explained }\\&\text { by the linear regression model on the \( \mathrm{x} \) variable. }\\\hline \text { D. } &\text { The coefficient of determination describes the percentage of variation in the y variable unexplained}\\&\text { by the linear regression model on the \( \mathrm{x} \) variable.}\\\hline\end{array}$