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 = -1.8 * weight + 163
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | LECROQ Jérémy | 70 |
| 20 | ALLEGAERT Piet | 70 |
| 25 | RIVIÈRE David | 63 |
| 29 | CRAS Steff | 65 |
| 31 | MERTZ Rémy | 70 |
| 33 | ERMENAULT Corentin | 75 |
| 54 | BENHAMOUDA Mehdi | 64 |
| 56 | LEPLINGARD Antoine | 68 |
| 57 | LE TURNIER Mathias | 65 |
| 63 | SELLIER Simon | 68 |
| 78 | DERUETTE Thomas | 70 |
| 80 | GAILLARD Marlon | 64 |