An investigator has a data set which contains a response variable(y) and four explanatory variables(xı, x2, X3, X4). A correlation matrix was produced from the data set and is provided below....


An investigator has a data set which contains a response variable(y) and four explanatory variables(xı, x2, X3, X4). A<br>correlation matrix was produced from the data set and is provided below.<br>Correlations<br>Y<br>X1<br>X2<br>X3<br>X1<br>0.785<br>X2<br>0.731 0.690<br>X3<br>0.603 0.343 0.771<br>Х4<br>0.745 0.742 0.500 0.630<br>Does the correlation matrix provide evidence that multicollinearity may be an issue? Explain your reasoning.<br>

Extracted text: An investigator has a data set which contains a response variable(y) and four explanatory variables(xı, x2, X3, X4). A correlation matrix was produced from the data set and is provided below. Correlations Y X1 X2 X3 X1 0.785 X2 0.731 0.690 X3 0.603 0.343 0.771 Х4 0.745 0.742 0.500 0.630 Does the correlation matrix provide evidence that multicollinearity may be an issue? Explain your reasoning.

Jun 11, 2022
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