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 = -0.9 * weight + 71
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAUGRENARD Benoît | 72 |
| 2 | GILBERT Philippe | 75 |
| 4 | VALENTIN Tristan | 69 |
| 5 | DE KORT Koen | 69 |
| 7 | MOINARD Amaël | 69 |
| 11 | MONDORY Lloyd | 66 |
| 12 | PICHOT Alexandre | 72 |
| 17 | VAN HUMMEL Kenny | 64 |
| 21 | GUILLOU Florian | 71 |