Question

A recent 10-year study conducted by a research team at the Medical School was conducted to assess how age, blood pressure, and smoking relate to the risk of strokes. Assume that the following data are from a portion of this study. Risk is interpreted as the probability (times 100) that the patient will have a stroke over the next 10-year period. For the smoking variable, define a dummy variable with 1 indicating a smoker and 0 indicating a nonsmoker Blood isk Age Pressure 12 S7 150 26 60 165 11 59 155 57 86 170 Yes 28 S9 196 S0 76 189 17 56 155 32 78 120 37 80 135 15 78 98 22 71 152 36 70 173 15 67 135 Yes 48 77 209Yes 14 60 199 36 82119 8 6S 166 34 82 125 3 61 117 39 60 208 No No No No No No No No No (a) Develop an estimated multiple regression equation that relates risk of a stroke to the person's age, blood pressure, and whether the person is a smoker Let x1 represent the person's age. Let x2 represent the person's blood pressure. Let x3 represent whether the person is a smoker If required, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a sign before the blank. (Example: -300) 97.191.210x0.237x27.440 x3 (b) s smoking a significant factor in the risk of a stroke? Explain. Use a 0.05 level of significance The input in the box below will not be graded, but may be reviewed and considered by your instructor (c) What is the probability of a stroke over the next 10 years for Art Speen, a 65-year-old smoker who has a blood pressure of 1722 If required, round your answer to two decimal places 31.11

Answer 1

Home srt Page Layout Formulas D Review View Connections 순↓ Properties ear A Z Reapply Z Sort Filter From From From From Other Existing Access Web Text Sources Connection All Refresh Text to Remove Data Consolidate V Edit Links ?Advanced Columns Duplicates Validation▼ Data Tools Get External Data Connections Sort & Filter M20 1 SUMMARY OUTPUT 2 Regression Statistics 4 Multiple R 5 R Square 6 Adjusted R Square 0.81767232 7 Standard Error 8 Observations 0.9200331 0.8464609 6.4624017 20 10 ANOVA MS Significance F 12 Regression 13 Residual 14 Total 15 16 17 Intercept 18 Age 19 Blood Pressure 20 Smoker 3683.797829 1227.93261 29.4026608 9.58118E-07 668.2021712 41.7626357 16 19 4352 Coefficients Standard Error P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 16.55270083 -5.872073293 2.3614E-05-132.288831-62.108514 -132.2888307 -62.1085143 1.20952442 0.165705897 7.299223788 1.7836E-06 0.858243615 1.56080523 0.858243615 1.560805232 0.236935880.056232355 4.213515084 0.00065959 0.117728608 0.356143140.117728608 0.356143143 3.413218977 2.179784667 0.04455688 0.204381395 14.6757834 0.204381395 14.67578339 t Stat 97.1986725 7.44008239

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