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 * weight + 7
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HODEG Álvaro José | 76 |
| 2 | BOUHANNI Nacer | 65 |
| 3 | COQUARD Bryan | 59 |
| 4 | BONIFAZIO Niccolò | 72 |
| 5 | TESSON Jason | 59 |
| 6 | MINALI Riccardo | 74 |
| 7 | VERMEERSCH Florian | 81 |
| 8 | MORIN Emmanuel | 74 |
| 9 | VENTURINI Clément | 60 |
| 10 | DE BONDT Dries | 73 |
| 11 | KOWALSKI Dylan | 67 |
| 12 | STEIMLE Jannik | 73 |
| 13 | DRUCKER Jempy | 75 |
| 14 | PARET-PEINTRE Aurélien | 64 |
| 15 | GUGLIELMI Simon | 66 |