\fWith the same set of data provided in prompt 4 above, consider the following research question: Do individuals' levels of anger predict their blood pressure levels? We'll assert that our research hypothesis is that anger does predict blood pressure and that the predictive beta coefficient is positive. Answer the following questions: (a) Is this a one-tailed or a two-tailed test? (b) As a technical representation: what is the null hypothesis? (c) As a technical representation: what is the research hypothesis? (d) With respect to a test of the regression equation: What are the degrees of freedom for MSregression? (e) With respect to a test of the regression equation: What are the degrees of freedom for MSresidual? (f) Assume that you wanted to test the regression model at alpha = .1; examine the F probability distribution tables on pages 359-363 of the Salkind textbook; identify the critical value for F to test the model. (g) Manually calculate the coefficients for the regression equation predicting Blood- Pressure from Levels of Anger - show your work - and write out the regression equation once you have calculated the coefficients. (h) Let's assert that you've taken the next step in the analysis and that you have now calculated the F-ratio correctly - you have found that the test coefficient, Fobserved = MSregression / MSresidual = 4.023. Would you reject or fail to reject the null? Why