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 * weight + 162
This means that on average for every extra kilogram weight a rider loses -2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | L'HOTE Antoine | 67 |
| 5 | BOULAHOITE Rayan | 75 |
| 9 | BRÉANT Romain | 62 |
| 11 | HUE Antoine | 64 |
| 12 | ISIDORE Noa | 67 |
| 20 | FAURE PROST Alexy | 67 |
| 30 | BLAISE Arthur | 73 |
| 33 | GRUEL Thibaud | 70 |
| 35 | GIULIANO Dario | 63 |
| 47 | DECOMBLE Maxime | 62 |
| 49 | CLER Gabin | 60 |
| 57 | FOFONOV Artem | 70 |
| 58 | TAPIZ Hugo | 61 |
| 59 | DELAUNAY Estevan | 70 |
| 60 | BISIAUX Léo | 58 |
| 73 | SAVIOZ Colin | 53 |