Consider the following partial computer output from a simple linear regression analysis.
$$\begin{array} { l c l c c }
\text { Variable } & \text { Coefficient } & \text { Std. Deviation } & \mathrm { T } & \mathrm { P } \
\text { Intercept } & - 28.13 & & - .088 & .9309 \
\mathrm { X } & 1.12 & .04891 & 22.895 & .0001 \
\mathrm { R } ^ { 2 } .9722 & & & &
\end{array}$$
-What is the correlation coefficient?
A)986
B)972
C)995
D)931
E)948

Question

Consider the following partial computer output from a simple linear regression analysis.
$$\begin{array} { l c l c c } 
\text { Variable } & \text { Coefficient } & \text { Std. Deviation } & \mathrm { T } & \mathrm { P } \
\text { Intercept } & - 28.13 & & - .088 & .9309 \
\mathrm { X } & 1.12 & .04891 & 22.895 & .0001 \
\mathrm { R } ^ { 2 } .9722 & & & &
\end{array}$$
-What is the correlation coefficient?
A)986
B)972
C)995
D)931
E)948

Quizplus · Accepted Answer

The correlation coefficient is the square root of the R^2 value, which is 0.9722. Therefore, the correlation coefficient is 0.986.

Consider the Following Partial Computer Output from a Simple Linear