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 + 30
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PORZNER Manuel | 75 |
| 2 | MANDRYSCH John | 73 |
| 6 | SHAW James | 63 |
| 7 | GREGAARD Jonas | 66 |
| 8 | HONORÉ Mikkel Frølich | 68 |
| 11 | MENTEN Milan | 68 |
| 12 | FRAHM Jasper | 90 |
| 14 | VAN DEN BERG Julius | 78 |
| 15 | NORSGAARD Mathias | 88 |
| 16 | DE DECKER Alfdan | 68 |
| 18 | TREUBEL Pascal | 79 |
| 24 | FRANZ Marcel | 62 |
| 26 | MENGOULAS Alex | 66 |
| 34 | HENN Luca | 64 |