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 = -0.7 * weight + 79
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | WIRTGEN Tom | 77 |
| 6 | CORNELISSE Mitchell | 73.5 |
| 8 | GENIETS Kevin | 73 |
| 14 | MAITRE Florian | 71 |
| 18 | MAAS Jan | 70 |
| 21 | BOUWMANS Dylan | 64 |
| 22 | VELTMAN Milan | 66 |
| 26 | SIVAKOV Pavel | 70 |
| 28 | MADOUAS Valentin | 71 |
| 31 | RIOU Alan | 68 |
| 34 | KURIANOV Stepan | 74 |
| 37 | VAN DEN BERG Julius | 78 |
| 44 | GAUDU David | 53 |
| 72 | LAGRÉE Adrien | 66 |
| 75 | MARLIER Alexandre | 75 |