Compute the least-squares regression line for predicting y from x given the following summary statistics:
$\begin{array} { l l l }
\bar { x } = 7.4 & s _ { x } = 2.9 & \bar { y } = 47.1 \
s _ { y } = 8.6 & r = 0.84 &
\end{array}$
A) y=28.6666+2.4910 x
B) y=2.4910+28.6666 x
C) y=28.6666+0.2833 x
D) y=0.2833+28.6666 x

Question

Compute the least-squares regression line for predicting y from x given the following summary statistics: 
$\begin{array} { l l l } 
\bar { x } = 7.4 & s _ { x } = 2.9 & \bar { y } = 47.1 \
s _ { y } = 8.6 & r = 0.84 &
\end{array}$
A) y=28.6666+2.4910 x
B) y=2.4910+28.6666 x
C) y=28.6666+0.2833 x
D) y=0.2833+28.6666 x

Quizplus · Accepted Answer

The Answer is A

Compute the Least-Squares Regression Line for Predicting Y from X xˉ=7.4sx=2.9yˉ=47.1sy=8.6r=0.84\begin{array} { l l l } \bar { x } = 7.4 & s _ { x } = 2.9 & \bar { y } = 47.1 \\s _ { y } = 8.6 & r = 0.84 &\end{array}xˉ=7.4sy​=8.6​sx​=2.9r=0.84​yˉ​=47.1​

Compute the Least-Squares Regression Line for Predicting Y from X $\begin{array} { l l l } \bar { x } = 7.4 & s _ { x } = 2.9 & \bar { y } = 47.1 \\s _ { y } = 8.6 & r = 0.84 &\end{array}$