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 = -1.2 * weight + 114
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BREYNE Jonathan | 83 |
| 2 | VAN HOECKE Gijs | 78 |
| 6 | WAEYTENS Zico | 67 |
| 8 | STUYVEN Jasper | 78 |
| 12 | MANNION Gavin | 58 |
| 17 | DE JONGHE Kevin | 69 |
| 25 | TURGIS Jimmy | 63 |
| 26 | DRUYTS Gerry | 69 |
| 37 | BARGUIL Warren | 61 |
| 41 | HNÍK Karel | 57 |
| 47 | DE ROOZE Niels | 62 |
| 48 | PACHER Quentin | 62 |
| 49 | HOFLAND Moreno | 71 |
| 52 | PAILLOT Yoann | 72 |
| 80 | BROWN Nathan | 65 |
| 88 | CHETOUT Loïc | 70 |