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 = -0.1 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JOHANSEN Julius | 77 |
| 3 | BURGAUDEAU Mathieu | 61 |
| 5 | VAN DER HORST Dennis | 62 |
| 6 | PHILIPSEN Jasper | 75 |
| 7 | GRESSIER Maxime | 67 |
| 8 | VAN SINTMAARTENSDIJK Daan | 77 |
| 10 | ZIJLAARD Maikel | 73 |
| 13 | VAN POUCKE Aaron | 68 |
| 14 | DEKKER David | 80 |
| 16 | BALLABIO Giacomo | 70 |
| 17 | APERS Ruben | 70 |
| 18 | TESSON Jason | 59 |
| 20 | FREHEN Jeremy | 66 |
| 21 | BJERG Mikkel | 78 |
| 22 | VERSCHAEVE Viktor | 62 |