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 + 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER LIJKE Nick | 61 |
| 2 | CORNU Jérémy | 66 |
| 4 | CHEVRIER Clément | 56 |
| 5 | MAURELET Flavien | 56 |
| 6 | DÉMARE Arnaud | 76 |
| 7 | JAUN Lukas | 66 |
| 9 | VAN DER HAAR Lars | 58 |
| 15 | JUNGELS Bob | 70 |
| 23 | MANAKOV Victor | 77 |
| 27 | SAVITSKIY Ivan | 72 |
| 32 | RIESEBEEK Oscar | 78 |
| 41 | VELASCO Henry | 58 |
| 50 | HOLLER Nikodemus | 58 |