In regression analysis, if the coefficient of correlation is -1.0, then: $\begin{array}{|l|l|}
\hline A&\text {the sum of squares for error is -1.0 . }\
\hline B&\text {the sum of squares for regression is 1.0 . }\
\hline C&\text { the sum of squares for error and sum of squares for regressi on are equal.}\
\hline D&\text { the sum of squares for regression and total variation in $ y $ are equal.}\
\hline
\end{array}$

Question

In regression analysis, if the coefficient of correlation is -1.0, then: $\begin{array}{|l|l|}
\hline A&\text {the sum of squares for error is -1.0 . }\
\hline B&\text {the sum of squares for regression is 1.0 . }\
\hline C&\text { the sum of squares for error and sum of squares for regressi on are equal.}\
\hline D&\text { the sum of squares for regression and total variation in $ y $ are equal.}\
\hline 
\end{array}$

Quizplus · Accepted Answer

The Answer of In regression analysis, if the coefficient of correlation is -1.0, then: $\begin{array}{|l|l|}
\hline A&\text {the sum of squares for error is -1.0 . }\
\hline B&\text {the sum of squares for regression is 1.0 . }\
\hline C&\text { the sum of squares for error and sum of squares for regressi on are equal.}\
\hline D&\text { the sum of squares for regression and total variation in $ y $ are equal.}\
\hline 
\end{array}$

In Regression Analysis, If the Coefficient of Correlation Is -1