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 = -0.3 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GAILLARD Marlon | 64 |
| 3 | BAX Sjoerd | 78 |
| 4 | BARRÉ Louis | 68 |
| 5 | KOWALSKI Dylan | 67 |
| 7 | HUREL Tony | 66 |
| 8 | FARAZIJN Maxime | 73.5 |
| 10 | ONESTI Emanuele | 71 |
| 11 | CABOT Jérémy | 76 |
| 13 | MALDONADO Anthony | 57 |
| 17 | DE LANGE Thijs | 58 |
| 18 | ZURLO Federico | 70 |