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 = 0.7 * weight - 36
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AUGER Ludovic | 78 |
| 2 | AERTS Mario | 68 |
| 4 | DIERCKXSENS Ludo | 71 |
| 5 | THIJS Erwin | 69 |
| 9 | STREEL Marc | 69 |
| 11 | DE CLERCQ Mario | 66 |
| 14 | VANSEVENANT Wim | 65 |
| 16 | CAPELLE Ludovic | 75 |
| 17 | JOHANSEN Allan | 78 |
| 18 | FARAZIJN Peter | 69 |
| 19 | AUGER Guillaume | 78 |
| 20 | DE NEEF Steven | 75 |
| 26 | VIERHOUTEN Aart | 71 |
| 29 | GAUTE HØLESTØL Svein | 83 |