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 = -1.3 * weight + 119
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOFLAND Moreno | 71 |
| 6 | VAN HOECKE Gijs | 78 |
| 8 | BARGUIL Warren | 61 |
| 11 | STUYVEN Jasper | 78 |
| 17 | BREYNE Jonathan | 83 |
| 18 | DE ROOZE Niels | 62 |
| 20 | DE JONGHE Kevin | 69 |
| 23 | WAEYTENS Zico | 67 |
| 24 | BROWN Nathan | 65 |
| 26 | PAILLOT Yoann | 72 |
| 27 | TURGIS Jimmy | 63 |
| 49 | MANNION Gavin | 58 |
| 52 | PACHER Quentin | 62 |
| 55 | DRUYTS Gerry | 69 |
| 69 | HNÍK Karel | 57 |
| 84 | CHETOUT Loïc | 70 |