In simple linear regression, the coefficient of correlation r and the least squares estimate $b _ { 1 }$ of the population slope $\beta _ { 1 }$ : $\begin{array}{|l|l|}
\hline\text { A. } & \text {Must be the same size and sign. }\
\hline \text { B. } & \text {May have both have a different size and different sign. } \
\hline \text { C. } &\text { May be the same size but have different sign.}\
\hline \text { D. } &\text { May be different sizes but will have the same sign.}\
\hline
\end{array}$

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The Answer of In simple linear regression, the coefficient of correlation r and the least squares estimate $b _ { 1 }$ of the population slope $\beta _ { 1 }$ : $\begin{array}{|l|l|}
\hline\text { A. } & \text {Must be the same size and sign. }\
\hline \text { B. } & \text {May have both have a different size and different sign. } \
\hline \text { C. } &\text { May be the same size but have different sign.}\
\hline \text { D. } &\text { May be different sizes but will have the same sign.}\
\hline
\end{array}$

In Simple Linear Regression, the Coefficient of Correlation R and the Least