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 1. What is the correlation coefficient between Risk of Stroke and Age? How do you find it? 2. 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%. 3. Based on the multiple regression analysis output, write the estimated regression equation.
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 1. What is the correlation coefficient between Risk of Stroke and Age? How do you find it? 2. 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%. 3. Based on the multiple regression analysis output, write the estimated regression equation.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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| 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 |
1. What is the
2. 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%.
3. Based on the multiple
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