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 + 55
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | STEURS Geert | 77 |
| 6 | IGLINSKIY Maxim | 67 |
| 9 | DE NEEF Steven | 75 |
| 12 | WEYLANDT Wouter | 72 |
| 19 | DYACHENKO Alexandr | 65 |
| 21 | DE WILDE Sjef | 74 |
| 23 | BAZAYEV Assan | 62 |
| 30 | SHPILEVSKY Boris | 78 |
| 41 | GROSDENT William | 74 |
| 42 | PARDINI Olivier | 68 |
| 45 | RENDERS Sven | 63 |
| 48 | NEYENS Maarten | 74 |