Three predictor variables are being considered for use in a linear regression model. Given the correlation matrix below, does it appear that multicollinearity could be a problem?
$$\begin{array} { | l | c c c | }
\hline & \boldsymbol { x } _ { 1 } & \boldsymbol { x } _ { \mathbf { 1 } } & \boldsymbol { x } _ { \mathbf { 3 } } \
\hline \boldsymbol { x } _ { 1 } & 1.000 & & \
\boldsymbol { x } _ { \mathbf { 2 } } & 0.025 & 1.000 & \
\boldsymbol { x } _ { \mathbf { 3 } } & 0.968 & 0.897 & 1.000 \
\hline
\end{array}$$

Question

Three predictor variables are being considered for use in a linear regression model. Given the correlation matrix below, does it appear that multicollinearity could be a problem?
 $$\begin{array} { | l | c c c | } 
\hline  & \boldsymbol { x } _ { 1 } & \boldsymbol { x } _ { \mathbf { 1 } } & \boldsymbol { x } _ { \mathbf { 3 } } \
\hline \boldsymbol { x } _ { 1 } & 1.000 & & \
\boldsymbol { x } _ { \mathbf { 2 } } & 0.025 & 1.000 & \
\boldsymbol { x } _ { \mathbf { 3 } } & 0.968 & 0.897 & 1.000 \
\hline
\end{array}$$

Quizplus · Accepted Answer

The Answer of Three predictor variables are being considered for use in a linear regression model. Given the correlation matrix below, does it appear that multicollinearity could be a problem?
 $$\begin{array} { | l | c c c | } 
\hline  & \boldsymbol { x } _ { 1 } & \boldsymbol { x } _ { \mathbf { 1 } } & \boldsymbol { x } _ { \mathbf { 3 } } \
\hline \boldsymbol { x } _ { 1 } & 1.000 & & \
\boldsymbol { x } _ { \mathbf { 2 } } & 0.025 & 1.000 & \
\boldsymbol { x } _ { \mathbf { 3 } } & 0.968 & 0.897 & 1.000 \
\hline
\end{array}$$

Three Predictor Variables Are Being Considered for Use in a Linear