Is there any multicollinearity problem in the above multiple regression model? How do you know? 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
Is there any multicollinearity problem in the above multiple regression model? How do you know? 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
Trigonometry (MindTap Course List)
8th Edition
ISBN:9781305652224
Author:Charles P. McKeague, Mark D. Turner
Publisher:Charles P. McKeague, Mark D. Turner
Chapter4: Graphing And Inverse Functions
Section: Chapter Questions
Problem 6GP: If your graphing calculator is capable of computing a least-squares sinusoidal regression model, use...
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Is there any multicollinearity problem in the above multiple regression model? How do you know?
| 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 |
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