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 = -0.2 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MANAKOV Victor | 77 |
| 2 | DÉMARE Arnaud | 76 |
| 3 | VAN DER HAAR Lars | 58 |
| 4 | MAURELET Flavien | 56 |
| 5 | VAN DER LIJKE Nick | 61 |
| 7 | JAUN Lukas | 66 |
| 11 | SAVITSKIY Ivan | 72 |
| 15 | CHEVRIER Clément | 56 |
| 21 | JUNGELS Bob | 70 |
| 25 | HOLLER Nikodemus | 58 |
| 30 | RIESEBEEK Oscar | 78 |
| 36 | CORNU Jérémy | 66 |
| 46 | VELASCO Henry | 58 |