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

Short Answer

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}$