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 + 34
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RONHAAR Pim | 60 |
| 4 | VAN SCHIP Jan-Willem | 84 |
| 5 | SIERRA Juan David | 70 |
| 6 | DEVROUTE Corentin | 71 |
| 9 | MÜLLER Tobias | 64 |
| 11 | BLUM Elia | 68 |
| 13 | DE MOYER Kenay | 69 |
| 16 | VAN ASBROECK Maarten | 55 |
| 17 | PUTZ Sebastian | 62 |
| 19 | ISERBYT Eli | 55 |
| 20 | WALSH Liam | 80 |
| 21 | LAURYSSEN Yorben | 67 |
| 22 | GARIBBO Nicolò | 57 |
| 23 | BEZZA Quentin | 76 |
| 27 | HAEST Jasper | 70 |
| 29 | PAQUET Tom | 60 |
| 32 | GROZEV Gabriel | 61 |