a. Develop an estimated regression equation that can be used to predict the risk of stroke given the age and blood-pressure level. Note: report R and R-sq adj between 0 and 1. The regression equation is Risk = (to 2 decimals) 8 = (to 3 decimals) Risk = (to 2 decimals) + 8 = (to 3 decimals) Age + + R = (to 3 decimals) b. Consider adding two independent variables to the model developed in part (a), one for the interaction between age and blood-pressure level and the other for whether the person is a smoker. Develop an estimated regression equation using these four independent variables. Note: report R and R-sq adj between 0 and 1. The regression equation is Age + R = (to 3 decimals) Pressure R-sq adj = (to 3 decimals) What is the p-value? (to 4 decimals) P-value is Pressure + Smoker + R-sq adj = (to 3 decimals) c. At a .05 level of significance, test to see whether the addition of the interaction term and the smoker variable contribute significantly to the estimated regression equation develope in part (a). What is the value of the F test statistic? (to 4 decimals) AgePress so the addition of the two independent variables statistically significant. A Risk 55 57 23 71 68 26 35 38 45 42 35 43 72 73 23 40 6 61 32 48 B Age 66 77 57 82 89 76 84 80 69 63 78 64 84 88 57 72 56 85 66 72 C Blood Pressure 219 203 172 213 193 107 106 112 189 207 105 212 204 197 195 189 150 162 166 200 D Smoker 0 1 0 0 0 0 1 0 0 1 0 1 0 0 0 0 0 1 0 1