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A lоcаl hоspitаl cоnducted а study to predict Stroke Risk (y-variable) based on the following x-variables: Age, Weight, and Smoker (1=smokes, 0=does not smoke). Multiple regression results from Excel are shown below. Regression Statistics Multiple R 0.82 R Square 0.67 Adjusted R Square 0.58 Standard Error 9.57 Observations 20 ANOVA df SS MS F-stat p-value Regression 4 2815.81 703.95 7.68 0.001 Residual 15 1375.14 91.68 Total 19 4190.95 Coefficients Standard Error t Stat P-value Intercept -48.90 37.55 -1.30 0.213 Age 0.59 0.33 1.78 0.096 Weight -0.07 0.07 -1.08 0.296 Smoker 17.09 4.74 3.61 0.003 RESIDUAL OUTPUT Patient # Predicted Risk Residuals 1 8.8 -5.8 2 21.3 -13.3 3 14.4 -2.4 4 10.2 2.8 5 16.7 -1.7 Question: Using the regression output above, predict the stroke risk for a patient who is 53 years old, weighs 160 pounds, and is a smoker. [Show your work.]