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 = -1.5 * weight + 154
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SHPILEVSKY Boris | 78 |
| 8 | STEEGMANS Gert | 82 |
| 9 | NUYENS Nick | 68 |
| 15 | BARBÉ Koen | 75 |
| 18 | DOCKX Bart | 64 |
| 20 | DE SCHROODER Benny | 61 |
| 24 | DE VOCHT Wim | 78 |
| 31 | CAETHOVEN Steven | 67 |
| 40 | DE FAUW Dimitri | 77 |
| 62 | FIRSANOV Sergey | 58 |
| 85 | HONIG Reinier | 61 |
| 96 | MERTENS Pieter | 67 |
| 97 | VEUCHELEN Frederik | 75 |
| 98 | RENDERS Sven | 63 |
| 101 | WYNANTS Maarten | 74 |