A researcher's results are shown below using Femlab (labor force participation rate among females) to try to predict Cancer (death rate per 100,000 population due to cancer) in the 50 U.S. states.

\begin{array} { l r } \hline { \text { Regression Statistics } } \\\hline \text { Multiple R } & 0.313422848 \\\text { R Square } & 0.098233882 \\\text { Adjusted R Square } & 0.079447088 \\\text { Standard Error } & 32.07003698 \\\text { Observations } & 50 \\\hline\end{array}

\begin{array} { l c r r } \hline \text { Variable } & \text { Coefficients } & \text { Standard Error } & { t \text { Stat } } \\\hline \text { Intercept } & 343.619889 & 61.0823514 & 5.62552 \\\text { Femlab } & - 2.2833659 & 0.99855319 & - 2.28667 \\\hline\end{array}

Which statement is valid regarding the relationship between Femlab and Cancer?
A)A rise in female labor participation rate will cause the cancer rate to decrease within a state.
B)This model explains about 10 percent of the variation in state cancer rates.
C)At the .05 level of significance, there isn't enough evidence to say the two variables are related.
D)If your sister starts working, the cancer rate in your state will decline.

The Critical Value for a Two-Tailed Test of H0: β1

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The Critical Value for a Two-Tailed Test of H₀: β₁

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