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 = -1.2 * weight + 118
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN KEIRSBULCK Guillaume | 89 |
| 4 | REINHARDT Theo | 72 |
| 5 | VAN DER SANDE Tosh | 67 |
| 6 | DE PAUW Moreno | 72 |
| 11 | VANOVERBERGHE Arthur | 65 |
| 20 | ARNDT Nikias | 77.5 |
| 22 | VAN HOECKE Gijs | 78 |
| 23 | THILL Tom | 73 |
| 32 | KOEP Thomas | 78 |
| 37 | FENN Andrew | 79 |
| 44 | SPRENGERS Thomas | 60 |
| 52 | KRIEGER Alexander | 71 |
| 63 | VASILYEV Maksym | 70 |
| 72 | SCHELLING Patrick | 61 |