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 perfect correlation (a correlation coefficient of 1) between Abort (the dependent variable) and itself since it is the same variable. This is not evidence of multicollinearity, which is when predictor variables are highly correlated with each other, not the dependent variable.

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