In regression analysis, if the coefficient of determination is 1.0, then: $\begin{array}{|l|l|}
\hline\text { A. } & \text { the sum of squares for error must be 1.0 .}\
\hline \text { B. } & \text { the sum of squares for regression must be 1.0. } \
\hline \text { C. } &\text { the sum of squares for error must be 0.0 .}\
\hline \text { D. } &\text {the sum of squares for regression must be 0.0 . }\
\hline
\end{array}$

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The Answer of In regression analysis, if the coefficient of determination is 1.0, then: $\begin{array}{|l|l|}
\hline\text { A. } & \text { the sum of squares for error must be 1.0 .}\
\hline \text { B. } & \text { the sum of squares for regression must be 1.0. } \
\hline \text { C. } &\text { the sum of squares for error must be 0.0 .}\
\hline \text { D. } &\text {the sum of squares for regression must be 0.0 . }\
\hline
\end{array}$

In Regression Analysis, If the Coefficient of Determination Is 1