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 + 142
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | AUGÉ Ronan | 61 |
| 5 | GRUEL Thibaud | 70 |
| 6 | HUE Antoine | 64 |
| 7 | DOCKX Gilles | 61 |
| 8 | BRÉANT Romain | 62 |
| 11 | VEENINGS Pepijn | 79 |
| 15 | VAN DER MEULEN Max | 67 |
| 26 | L'HOTE Antoine | 67 |
| 31 | VAN DER WERFF Thom | 60 |
| 35 | DECOMBLE Maxime | 62 |
| 41 | GIULIANO Dario | 63 |
| 62 | DAHLBLOM Acke | 62 |
| 67 | TAPIZ Hugo | 61 |
| 80 | PRESTIANNI Sacha | 64 |
| 93 | TOUSSAINT Wouter | 64 |
| 100 | VANDENABEELE Kobe | 64 |