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 = -0.1 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HOELGAARD Daniel | 77 |
| 3 | DE VRIES Berden | 70 |
| 8 | VAN ROOY Kenneth | 70 |
| 9 | CIEŚLIK Paweł | 65 |
| 10 | VAN MEIRHAEGHE Jef | 71 |
| 12 | WIŚNIOWSKI Łukasz | 78 |
| 13 | NYCH Artem | 74 |
| 16 | KAŇKOVSKÝ Alois | 83 |
| 19 | TUREK Daniel | 72 |
| 20 | POLNICKÝ Jiří | 68 |
| 22 | KOCH Jonas | 75 |
| 23 | NIKOLAEV Sergey | 66 |
| 26 | GUERIN Alexis | 64 |
| 27 | FRISON Frederik | 84 |
| 28 | KATYRIN Roman | 65 |