Refer to the following correlation matrix that was part of a regression analysis.The dependent variable was Abort (the number of abortions per 1000 women of childbearing age).The regression was estimated using data for the 50 U.S.states with these predictors: EdSpend = public K-12 school expenditure per capita,Age = median age of population,Unmar = percent of total births by unmarried women,Infmor = infant mortality rate in deaths per 1000 live births. Correlation Matrix Using a two-tailed correlation test,which statement is not accurate?
A) Age and Infmor are not significantly correlated at α = .05.
B) Abort and Unmar are significantly correlated at α = .05.
C) Unmar and Infmor are significantly correlated at α = .05.
D) The first column of the table shows evidence of multicollinearity.

Question

Refer to the following correlation matrix that was part of a regression analysis.The dependent variable was Abort (the number of abortions per 1000 women of childbearing age).The regression was estimated using data for the 50 U.S.states with these predictors: EdSpend = public K-12 school expenditure per capita,Age = median age of population,Unmar = percent of total births by unmarried women,Infmor = infant mortality rate in deaths per 1000 live births. Correlation Matrix  Using a two-tailed correlation test,which statement is not accurate?
A) Age and Infmor are not significantly correlated at α = .05. 
B) Abort and Unmar are significantly correlated at α = .05. 
C) Unmar and Infmor are significantly correlated at α = .05. 
D) The first column of the table shows evidence of multicollinearity.

Quizplus · Accepted Answer

The first column of the table shows high correlations between EdSpend, Age, and Infmor, indicating multicollinearity.

Refer to the Following Correlation Matrix That Was Part of a Regression