In regression analysis, the coefficient of determination, $R ^ { 2 }$ , measures the amount of variation in y that is: $\begin{array}{|l|l|}
\hline\text { A. } & \text { caused by the variation in $ x $.}\
\hline \text { B. } & \text {explained by the variation in $ x $. } \
\hline \text { C. } &\text { unexplained by the variation in $ x $.}\
\hline \text { D. } &\text {caused by the variation in $ x $ or explained by the variation in $ x $. }\
\hline
\end{array}$

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The Answer of In regression analysis, the coefficient of determination, $R ^ { 2 }$ , measures the amount of variation in y that is: $\begin{array}{|l|l|}
\hline\text { A. } & \text { caused by the variation in $ x $.}\
\hline \text { B. } & \text {explained by the variation in $ x $. } \
\hline \text { C. } &\text { unexplained by the variation in $ x $.}\
\hline \text { D. } &\text {caused by the variation in $ x $ or explained by the variation in $ x $. }\
\hline
\end{array}$

In Regression Analysis, the Coefficient of Determination R2R ^ { 2 }R2

In Regression Analysis, the Coefficient of Determination $R ^ { 2 }$