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 + 28
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HEALY Ben | 65 |
| 6 | VANDEPITTE Nathan | 80 |
| 7 | WOOD Harrison | 64 |
| 9 | VELING Quinten | 81 |
| 12 | VAN EKEREN Niels | 70 |
| 15 | BROEX Victor | 75 |
| 16 | RICHARD Maxime | 55 |
| 17 | JOLLY Maxime | 70 |
| 19 | BENECH Pierre | 65 |
| 20 | BARRÉ Louis | 68 |
| 24 | MARSMAN Tim | 75 |
| 34 | SAVER Kasper | 76 |
| 35 | NAVARRO Gauthier | 60 |