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In a Regression Problem, If the Coefficient of Determination Is

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In a regression problem, if the coefficient of determination is 0.95, this means that:  A.  95% of the y values are positive. B.  95% of the variation in y can be explained by the variation in x C. 95% of the x values are equal.  D. 95% of the variation in x can be explained by the variation in y\begin{array}{|l|l|}\hline\text { A. } & \text { \( 95 \% \) of the \( y \) values are positive.}\\\hline \text { B. } & \text { \( 95 \% \) of the variation in \( y \) can be explained by the variation in \( x \). } \\\hline \text { C. } &\text {\( 95 \% \) of the \( \mathrm{x} \) values are equal. }\\\hline \text { D. } &\text {\( 95 \% \) of the variation in \( x \) can be explained by the variation in \( y \). }\\\hline\end{array}


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