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 = -1.6 * weight + 133
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ÁLVAREZ Héctor | 74 |
| 4 | TAILLIEU Aldo | 68 |
| 6 | SCHELDEMAN Xander | 66 |
| 8 | DAHL Marius Innhaug | 68 |
| 9 | SCHAPER Joeri | 69 |
| 12 | BAUWENS Siebe | 71 |
| 17 | CHALEIL Louis | 68 |
| 22 | FIETZKE Paul | 60 |
| 27 | CUBILLAS Javier | 62 |
| 28 | CAPPON Staf | 62 |
| 29 | GRINDLEY Sebastian | 72 |
| 42 | JACKOWIAK Jan Michal | 65 |
| 43 | BOUCHER Hugo | 67 |
| 46 | HUITEMA Thomas | 72 |
| 51 | FINN Lorenzo | 63 |
| 52 | OMRZEL Jakob | 62 |