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 = -1.1 * weight + 101
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JAUREGUI Quentin | 60 |
| 3 | VAN DER POEL Mathieu | 75 |
| 4 | ARSLANOV Ildar | 63 |
| 5 | PETERS Nans | 72 |
| 6 | VAN GESTEL Dries | 74 |
| 16 | VAN GOMPEL Mathias | 70 |
| 21 | MERTZ Rémy | 70 |
| 23 | BUDDING Martijn | 74 |
| 26 | DE PLUS Laurens | 67 |
| 28 | ROBEET Ludovic | 75 |
| 35 | SOBALLA Carl | 71 |
| 46 | GRELLIER Fabien | 65 |
| 47 | SELLIER Simon | 68 |
| 51 | LEPLINGARD Antoine | 68 |
| 55 | BAEYENS James | 54 |
| 58 | DE KLEIJN Arvid | 68 |