A recent 10-year study conducted by a US research team at the GF Medical School was periormed to assess how age, systolic blood pressure, and smoking relate to the risk of strokes. Assume that the following data are from a portion of this study. R. over the next 10-year period. Develop a multi-regression model to estimate the risk (probability times 100) that a patient will encounter a stroke in the next 10-year period based on the age and systolic blood pressure risk factors above. Place the regression report on a new worksheet in the data workbook and name the worksheet tab "Stroke2". Then attempt to improve it by incorporating a third hypothesized risk factor. Develop a multi-regression model to estimate the risk (probability times 100) that a patient will encounter a stroke in the next 10-year period based on the age, systolic blood pressure, and smoking risk factors above. Place the regression report on a new worksheet in the data workbook and name the worksheet tab "Stroke3". Note: For the smoking variable (categorical data), define a dummy (auxiliary) binary variable with 1 indicating a smoker and 0 indicating a nonsmoker. With both models, include the Labels (data table header row * a.k.a. column descriptors), select ALL the residual options, and select the normal probability