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 = -1.4 * weight + 128
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BOASSON HAGEN Edvald | 75 |
| 6 | HERMANS Ben | 72 |
| 7 | MAES Nikolas | 78 |
| 12 | KRUIJSWIJK Steven | 63 |
| 16 | KRISTOFF Alexander | 78 |
| 20 | DE GENDT Thomas | 73 |
| 27 | BOECKMANS Kris | 76 |
| 28 | BAUGNIES Jérôme | 69 |
| 41 | VANSPEYBROUCK Pieter | 76 |
| 43 | DEGAND Thomas | 63 |
| 47 | DE BAAT Arjen | 66 |
| 65 | CLAEYS Dimitri | 77 |
| 72 | SEELDRAEYERS Kevin | 60 |