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 = 0.2 * weight + 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIVAKOV Pavel | 70 |
| 2 | KURIANOV Stepan | 74 |
| 3 | MADOUAS Valentin | 71 |
| 5 | RIOU Alan | 68 |
| 6 | GAUDU David | 53 |
| 7 | WIRTGEN Tom | 77 |
| 16 | MAITRE Florian | 71 |
| 17 | MAAS Jan | 70 |
| 18 | VAN DEN BERG Julius | 78 |
| 22 | CORNELISSE Mitchell | 73.5 |
| 29 | BOUWMANS Dylan | 64 |
| 31 | VELTMAN Milan | 66 |
| 35 | GENIETS Kevin | 73 |
| 71 | LAGRÉE Adrien | 66 |
| 76 | MARLIER Alexandre | 75 |