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 - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE LIE Arnaud | 78 |
| 2 | STOSZ Patryk | 70 |
| 3 | PELEGRÍ Óscar | 63 |
| 4 | FRETIN Milan | 70 |
| 5 | NEUMAN Dominik | 72 |
| 6 | OTRUBA Jakub | 75 |
| 7 | VAN DER MEER Nick | 82 |
| 8 | DE JONG Timo | 72 |
| 9 | CIMA Damiano | 70 |
| 10 | HEMING Miká | 68 |
| 12 | STÜSSI Colin | 68 |
| 13 | LARSEN Mathias Alexander Erik | 72 |
| 14 | EISING Tijmen | 80 |
| 15 | VAN BOVEN Luca | 68 |
| 17 | HABERMANN Richard | 74 |
| 19 | SLOCK Liam | 78 |
| 20 | LUNDER Eirik | 78 |