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 = -2.9 * weight + 217
This means that on average for every extra kilogram weight a rider loses -2.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HAVIK Piotr | 73 |
| 3 | KOWALSKI Dylan | 67 |
| 4 | MANZIN Lorrenzo | 69 |
| 5 | BENOOT Tiesj | 72 |
| 6 | ALLEGAERT Piet | 70 |
| 7 | TURGIS Anthony | 70 |
| 8 | BOUDAT Thomas | 70 |
| 9 | POUILLY Félix | 66 |
| 15 | DE GENDT Aimé | 75 |
| 17 | GRELLIER Fabien | 65 |
| 18 | LECROQ Jérémy | 70 |
| 24 | HEMROULLE Johan | 66 |
| 25 | LEPLINGARD Antoine | 68 |
| 47 | RIVIÈRE David | 63 |
| 49 | FERASSE Thibault | 61 |
| 56 | SELLIER Simon | 68 |