Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.6 * weight + 57
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | WIJFJE Tom | 66 |
| 3 | MERSEBURG Dominik | 75 |
| 7 | LAGAB Azzedine | 63 |
| 9 | FRANZ Toni | 60 |
| 10 | BOLE Grega | 69 |
| 12 | NASER Ahmed | 62 |
| 15 | JAWAD Mansoor | 58 |
| 16 | VERHOEFF Stefan | 76 |
| 19 | CLAUSS Marc | 71 |
| 26 | PASCUAL Eusebio | 66 |
| 27 | STEMAN Jip | 71 |
| 36 | ALSUBAIEI Mansoor | 54 |
| 51 | HABASH Saeed | 63 |