15. 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. Regression Statistics Multiple R 0.313422848 R. Square 0.098233882 Adjusted R Square 0.079447088 Standard Error 32.07003698 Observations 50 Variable Coefficients Standard Error t Stat Intercept 343.619889 61.0823514 5.62552 Femlab -2.2833659 0.99855319 -2.28667 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% confidence interval for the coefficient of Femlab is -4.29 to -0.28. C. Significant correlation exists between Femlab and Cancer at a = .05. D. The two - tailed p-value for Femlab will be less than .05