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 + 59
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHALEIL Louis | 68 |
| 2 | TAILLIEU Aldo | 68 |
| 3 | SCHAPER Joeri | 69 |
| 4 | DAHL Marius Innhaug | 68 |
| 8 | FIETZKE Paul | 60 |
| 9 | BOUCHER Hugo | 67 |
| 11 | JACKOWIAK Jan Michal | 65 |
| 12 | GRINDLEY Sebastian | 72 |
| 13 | ÁLVAREZ Héctor | 74 |
| 16 | FINN Lorenzo | 63 |
| 17 | SCHELDEMAN Xander | 66 |
| 40 | CAPPON Staf | 62 |
| 41 | CUBILLAS Javier | 62 |
| 43 | HUITEMA Thomas | 72 |
| 46 | OMRZEL Jakob | 62 |
| 50 | BAUWENS Siebe | 71 |