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 + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE PLUS Laurens | 67 |
| 2 | PETILLI Simone | 65 |
| 4 | MARTIN Guillaume | 55 |
| 5 | MAISON Jérémy | 61 |
| 6 | PARET-PEINTRE Aurélien | 64 |
| 7 | ROTA Lorenzo | 62 |
| 8 | GOUBERT Jean | 61 |
| 9 | OURSELIN Paul | 70 |
| 10 | GAUDU David | 53 |
| 12 | LEPLINGARD Antoine | 68 |
| 14 | VERMEULEN Alexey | 66 |
| 15 | ROCHAS Rémy | 51 |
| 16 | DOUBEY Fabien | 62 |