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 = -2.5 * weight + 212
This means that on average for every extra kilogram weight a rider loses -2.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MOLINI Federico | 71 |
| 3 | FREHEN Jeremy | 66 |
| 5 | VAN VUCHELEN Tom | 74 |
| 7 | SANDER HANSEN Marcus | 68 |
| 10 | HUENS Rémi | 74 |
| 17 | MONTAUBAN Jeremy | 68 |
| 22 | AVADANIAN Lucas | 66 |
| 32 | DELACROIX Théo | 70 |
| 53 | JENSEN Frederik Irgens | 75 |
| 54 | CAPRON Rémi | 59 |
| 60 | HAEST Jasper | 70 |
| 68 | GARCÍA PIERNA Carlos | 58 |
| 69 | DELPHIS Thomas | 70 |
| 70 | LECLAINCHE Gwen | 65 |
| 85 | HAEST Kevin | 70 |
| 90 | LAURENT Giovanni | 59 |