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 = -0.1 * weight + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCOTT Jared | 66 |
| 2 | DEBRUYNE Ramses | 66 |
| 3 | TRONCHON Bastien | 72 |
| 4 | ONLEY Oscar | 62 |
| 6 | CHROMY Kyle | 63 |
| 7 | GELDERS Gil | 66 |
| 8 | DE POOTER Dries | 66 |
| 9 | VANDENSTORME Dylan | 64 |
| 10 | LECERF Junior | 54 |
| 15 | ARTZ Huub | 71 |