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 = 0.8 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | REITZ Braden | 57 |
| 6 | BARRY Ashlin | 77 |
| 7 | HAUGETUN Kristian | 63 |
| 9 | PEACE Matthew | 63 |
| 10 | JACKOWIAK Jan Michal | 65 |
| 12 | DIJKMAN Daan | 55 |
| 14 | DE GENDT Leander | 51 |
| 15 | ROSATO Giacomo | 57 |
| 18 | FRIGO Davide | 68 |
| 22 | SHCHERBATSKYI Maksym | 60 |
| 35 | FRANÇOIS Rune | 68 |
| 39 | D'HONDT Arne | 63 |
| 40 | VERDONCK Thomas | 63 |
| 47 | JORDAN Ayden | 61 |
| 56 | PIGHIN Christian | 60 |
| 92 | PATRAS Jakub | 69 |