Risk of Stroke (%) Age Pressure Smoker (Yes=1) 12 57 152 0 24 67 163 0 13 58 155 0 56 86 177 1 28 59 196 0 51 76 189 0 18 56 155 1 31 78 120 0 37 80 135 1 15 78 98 0 22 71 152 0 36 70 173 1 15 67 135 1 48 77 209 0 15 60 199 0 36 82 119 1 8 66 166 0 34 80 125 1 3 62 117 0 37 59 207 1 Use Excel’s Data Analysis tool to conduct a multiple regression, using Risk of Stroke as the dependent variable, and all the rest of variables as independent variables. Choose confidence level at 99%. 1) Interpret regression coefficient of Age (b1), Pressure (b2), and Smoker (b3), respectively. 2) The regression coefficient of Age (b1) are different in the estimated simple regression equation and estimated multiple regression equation. Can you explain why? 3) If we choose the significance level α=0.05, is the variable Smoker a significant factor in explaining the risk of a stroke? Explain.
Risk of Stroke (%) Age Pressure Smoker (Yes=1) 12 57 152 0 24 67 163 0 13 58 155 0 56 86 177 1 28 59 196 0 51 76 189 0 18 56 155 1 31 78 120 0 37 80 135 1 15 78 98 0 22 71 152 0 36 70 173 1 15 67 135 1 48 77 209 0 15 60 199 0 36 82 119 1 8 66 166 0 34 80 125 1 3 62 117 0 37 59 207 1 Use Excel’s Data Analysis tool to conduct a multiple regression, using Risk of Stroke as the dependent variable, and all the rest of variables as independent variables. Choose confidence level at 99%. 1) Interpret regression coefficient of Age (b1), Pressure (b2), and Smoker (b3), respectively. 2) The regression coefficient of Age (b1) are different in the estimated simple regression equation and estimated multiple regression equation. Can you explain why? 3) If we choose the significance level α=0.05, is the variable Smoker a significant factor in explaining the risk of a stroke? Explain.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
| Risk of Stroke (%) | Age | Pressure | Smoker (Yes=1) |
| 12 | 57 | 152 | 0 |
| 24 | 67 | 163 | 0 |
| 13 | 58 | 155 | 0 |
| 56 | 86 | 177 | 1 |
| 28 | 59 | 196 | 0 |
| 51 | 76 | 189 | 0 |
| 18 | 56 | 155 | 1 |
| 31 | 78 | 120 | 0 |
| 37 | 80 | 135 | 1 |
| 15 | 78 | 98 | 0 |
| 22 | 71 | 152 | 0 |
| 36 | 70 | 173 | 1 |
| 15 | 67 | 135 | 1 |
| 48 | 77 | 209 | 0 |
| 15 | 60 | 199 | 0 |
| 36 | 82 | 119 | 1 |
| 8 | 66 | 166 | 0 |
| 34 | 80 | 125 | 1 |
| 3 | 62 | 117 | 0 |
| 37 | 59 | 207 | 1 |
Use Excel’s Data Analysis tool to conduct a multiple regression, using Risk of Stroke as the dependent variable, and all the rest of variables as independent variables. Choose confidence level at 99%.
1) Interpret regression coefficient of Age (b1), Pressure (b2), and Smoker (b3), respectively.
2) The regression coefficient of Age (b1) are different in the estimated simple regression equation and estimated multiple regression equation. Can you explain why?
3) If we choose the significance level α=0.05, is the variable Smoker a significant factor in explaining the risk of a stroke? Explain.
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