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 = -0.3 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GAVIRIA Fernando | 71 |
| 2 | FRANCZAK Paweł | 63 |
| 3 | SCHORN Daniel | 72 |
| 4 | KAŇKOVSKÝ Alois | 83 |
| 5 | BÁRTA Jan | 75 |
| 6 | ŠTYBAR Zdeněk | 68 |
| 7 | SERRY Pieter | 66 |
| 8 | VAKOČ Petr | 68 |
| 9 | SCHLEGEL Michal | 72 |
| 10 | KASPERKIEWICZ Przemysław | 71 |
| 11 | GAVAZZI Mattia | 70 |
| 15 | CIEŚLIK Paweł | 65 |
| 16 | GUERIN Alexis | 64 |
| 17 | BOSMAN Gert-Jan | 68 |
| 18 | VAN DEN BRAND Twan | 71 |