State the conclusion. v Hg- There regression model. (Type an integer or a decimal. Do not round.) v evidence that f ) D. Gender Y Test the second independent variable, age. Determine the null and alternative hypotheses. Hy: By Hq: By v v (Type integers or decimals. Do not round.) Determine the test statistic. toraT = D (Round to two decimal places as needed.) Determine the p-value. The p-value is (Round to three decimal places as needed.) to make a contribution to the State the conclusion. Y| Hy. There V| evidence that B,| Y|| |. Age I:l to make a contribution to the regression model. (Type an integer or a decimal. Do not round.) The most appropriate regression model uses to predict the base pay. What conclusions can you reach about a gender gap? Since Y| the base pay and the mean base pay for male employees is Y| the mean base pay for female employees of the same age, there E evidence of a gender gap. Let X5 be the interaction between gender and age, X5 =X, xX,. At the 0.05 level of significance, determine whether the interaction is significant. Determine the null and alternative hypotheses. Ho: B3| Y]] H13aj| (Type integers or decimals. Do not round.) Determine whether there is a significant relationship between base pay and the two independent variables (gender and age) at the 0.05 level of significance. Determine the null and alternative hypotheses. Ho Determine the test statistic. FSTAT = (Round to two decimal places as needed.) Determine the p-value. The p-value is (Round to three decimal places as needed.) State the conclusion. Ho. There evidence thatO A. OB. O c. OD. + 50000- 50000 50000- 50000- Residuals O- Residuals Residuals Residuals 0- -50000- -50000- -50000- -50000- 50000 150000 50000 150000 50000 150000 50000 150000 Predicted Values Predicted Values Predicted Values Predicted Values Which graph below shows the residuals versus gender? O A. O B. O C. O D. + + + 50000 50000 + 50000 50000 Residuals Residuals Residuals Residuals -50000- -50000- -50000- -50000- 0 0 Gender Gender Gender GenderO o O 0 C o OA i Q 5000 Q 5000 Q Q A wn w . o w 5 Q s Qs Q s Q 3 3 0 3 0 3 [ i un wn a @ aQy T -50000 ? -50000 0 70 0 70 Age Age