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 = -1.7 * weight + 146
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZIJLAARD Maikel | 73 |
| 2 | HOOLE Daan | 81 |
| 3 | DE WILDE Gilles | 75 |
| 5 | MOLENAAR Alex | 63 |
| 7 | DESAL Ceriel | 76 |
| 8 | HUENS Rémi | 74 |
| 9 | VERHOEFF Stefan | 76 |
| 12 | MARIT Arne | 72 |
| 15 | KROONEN Max | 79 |
| 16 | DE MEESTER Luca | 73 |
| 19 | BROEX Victor | 75 |
| 32 | VANOVERBERGHE Jens | 74 |
| 37 | VAN BOVEN Luca | 68 |
| 60 | MAAS Edo | 70 |
| 62 | SAVER Kasper | 76 |
| 64 | VAN GESTEL Luuk | 64 |