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 = -0.9 * weight + 87
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PETERS Nans | 72 |
| 3 | JAUREGUI Quentin | 60 |
| 4 | VAN GESTEL Dries | 74 |
| 6 | VAN DER POEL Mathieu | 75 |
| 7 | ARSLANOV Ildar | 63 |
| 19 | MERTZ Rémy | 70 |
| 20 | ROBEET Ludovic | 75 |
| 21 | VAN GOMPEL Mathias | 70 |
| 31 | DE PLUS Laurens | 67 |
| 32 | GRELLIER Fabien | 65 |
| 37 | SELLIER Simon | 68 |
| 42 | LEPLINGARD Antoine | 68 |
| 44 | SOBALLA Carl | 71 |
| 45 | BUDDING Martijn | 74 |
| 56 | BAEYENS James | 54 |
| 62 | DE KLEIJN Arvid | 68 |