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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE PLUS Laurens | 67 |
| 2 | PETILLI Simone | 65 |
| 3 | MAISON Jérémy | 61 |
| 4 | MARTIN Guillaume | 55 |
| 5 | PARET-PEINTRE Aurélien | 64 |
| 6 | VERMEULEN Alexey | 66 |
| 9 | GAUDU David | 53 |
| 11 | ROTA Lorenzo | 62 |
| 12 | CRAS Steff | 65 |
| 13 | ROCHAS Rémy | 51 |
| 15 | VINCENT Léo | 62 |
| 18 | RUYTERS Brecht | 69 |
| 20 | BARTA Will | 61 |
| 23 | NARDELLI Stefano | 62 |
| 25 | CARBONI Giovanni | 61 |