A researcher's Excel 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 r 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 of the following statements is not true?
A)The standard error is too high for this model to be of any predictive use.
B)The 95 percent confidence interval for the coefficient of Femlab is -4.29 to -0.28.
C)Significant correlation exists between Femlab and Cancer at ? = .05.
D)The two-tailed p-value for Femlab will be less than .05.

Which Is Not an Assumed Property of the Errors in a Population

Multiple Choice

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