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 = -0.4 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FINN Lorenzo | 63 |
| 4 | REMIJN Senna | 68 |
| 5 | GRINDLEY Sebastian | 72 |
| 7 | VAN KERCKHOVE Matisse | 70 |
| 8 | SCHELDEMAN Xander | 66 |
| 11 | FIETZKE Paul | 60 |
| 12 | SCHWARTZ Simon | 69 |
| 13 | JACKOWIAK Jan Michal | 65 |
| 15 | BOUSSEMAERE Louic | 56 |
| 16 | SCHOOFS Jasper | 68 |
| 18 | GALBUSERA Simone | 63 |
| 20 | HOBOLTH Marius | 71 |
| 21 | REITZ Braden | 57 |