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

Multiple Choice

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. $$\begin{array}{l}\text { Correlation Matrix }\\\begin{array} { l c c c c c } \hline & \text { Abort } & \text { EdSpend } & \text { Age } & \text { Unmar } & \text { InfMor } \\\hline \text { Abort } & 1.0000 & & & & \\\text { EdSpend } & 0.2626 & 1.0000 & & & \\\text { Age } & 0.1610 & - 0.0420 & 1.0000 & & \\\text { Unmar } & 0.3286 & - 0.0949 & 0.0937 & 1.0000 & \\\text { InfMor } & - 0.2513 & - 0.2826 & 0.0389 & 0.5239 & 1.0000 \\\hline\end{array}\end{array}$$ Using a two-tailed correlation test, which statement is not accurate?

A) Age and Infmor are not significantly correlated at ? = .05.
B) Abort and Unmar are significantly correlated at ? = .05.
C) Unmar and Infmor are significantly correlated at ? = .05.
D) The first column of the table shows evidence of multicollinearity.