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 = 0.5 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BAUDIN Alex | 66 |
| 4 | STEINHAUSER Georg | 65 |
| 5 | RICHARD Maxime | 55 |
| 6 | MARTÍN Alex | 60 |
| 7 | CAPRON Rémi | 59 |
| 8 | BARRÉ Louis | 68 |
| 11 | HEIDUK Kim | 70 |
| 12 | CORTJENS Ryan | 76 |
| 14 | DE VET Sander | 63 |
| 17 | FONTAINE Emerson | 66 |
| 21 | OELKE Tim | 78 |