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 = -0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAMMAERTS Edwig | 74 |
| 2 | DOCKX Gert | 64 |
| 3 | DE VREESE Laurens | 78 |
| 4 | VERMOTE Julien | 74 |
| 5 | DEBUSSCHERE Jens | 77 |
| 6 | SERGENT Jesse | 76 |
| 7 | PHINNEY Taylor | 82 |
| 8 | KRISTOFF Alexander | 78 |
| 9 | BILLE Gaëtan | 67 |
| 10 | COUSIN Jérôme | 74 |
| 11 | DUFRASNE Jonathan | 70 |
| 12 | VAN ZANDBEEK Ronan | 72 |
| 13 | LEMARCHAND Romain | 67 |
| 14 | SERRY Pieter | 66 |
| 15 | VANSPEYBROUCK Pieter | 76 |