Refer to the following regression results. The dependent variable is 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. $$\begin{array} { l r r r }
\hline \text { Variable } & \text { Coefficients } & \text { Standard Error } & t - \text { Stat } \
\hline \text { Intercept } & - 19.244 & 25.387 & - 0.758 \
\text { EdSpend } & 0.0080040 & 0.0054472 & 1.469 \
\text { Age } & 0.76012 & 0.66914 & 1.136 \
\text { Unmar } & 0.98629 & 0.22132 & 4.456 \
\text { InfMor } & - 3.7848 & 1.0173 & - 3.720 \
\hline
\end{array}$$ Which statement is not supported by a two-tailed test?
A)Unmar is a significant predictor at ? = .01.
B)EdSpend is a significant predictor at ? = .20.
C)Infmor is not a significant predictor at ? = .05.
D)Age is not a significant predictor at ? = .05.

Question

Refer to the following regression results. The dependent variable is 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. $$\begin{array} { l r r r } 
\hline \text { Variable } & \text { Coefficients } & \text { Standard Error } & t - \text { Stat } \
\hline \text { Intercept } & - 19.244 & 25.387 & - 0.758 \
\text { EdSpend } & 0.0080040 & 0.0054472 & 1.469 \
\text { Age } & 0.76012 & 0.66914 & 1.136 \
\text { Unmar } & 0.98629 & 0.22132 & 4.456 \
\text { InfMor } & - 3.7848 & 1.0173 & - 3.720 \
\hline
\end{array}$$ Which statement is not supported by a two-tailed test?
A)Unmar is a significant predictor at ? = .01.
B)EdSpend is a significant predictor at ? = .20.
C)Infmor is not a significant predictor at ? = .05.
D)Age is not a significant predictor at ? = .05.

Quizplus · Accepted Answer

The t-statistics for Unmar and InfMor are both beyond the typical critical values for significance at the levels specified (Unmar's t-stat is 4.456, significant at α = .01, and InfMor's t-stat is -3.720, indicating it is significant at α = .05, contrary to choice C). EdSpend's t-statistic is 1.469, which might not be significant at more stringent alpha levels but could be at α = .20. Age's t-statistic is 1.136, indicating it is not significant at α = .05, aligning with choice D. Therefore, the statement that Infmor is not a significant predictor at α = .05 is not supported by the regression results, making C the correct answer.

Refer to the Following Regression Results Which Statement Is Not Supported by a Two-Tailed Test? A)Unmar

Refer to the Following Regression Results Which Statement Is Not Supported by a Two-Tailed Test?
A)Unmar