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.

Refer to This ANOVA Table from a Regression For This Regression, the R2 Is: A)

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Refer to This ANOVA Table from a Regression For This Regression, the R² Is:
A)

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