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 - 21
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | FRIGO Davide | 68 |
| 11 | DE GENDT Leander | 51 |
| 14 | REITZ Braden | 57 |
| 15 | BARRY Ashlin | 77 |
| 20 | JORDAN Ayden | 61 |
| 24 | VERDONCK Thomas | 63 |
| 34 | PIGHIN Christian | 60 |
| 41 | DIJKMAN Daan | 55 |
| 43 | DOGHETTI Thomas | 55 |
| 57 | ROSATO Giacomo | 57 |
| 63 | D'HONDT Arne | 62 |
| 66 | PEACE Matthew | 63 |
| 77 | JACKOWIAK Jan Michal | 65 |
| 85 | SHCHERBATSKYI Maksym | 60 |
| 100 | RAUS Jérôme | 73 |
| 120 | GOOLD Max | 59 |
| 132 | PATRAS Jakub | 69 |