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 = -1.2 * weight + 134
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | MURAVYEV Dmitriy | 75 |
| 11 | GILING Bas | 72 |
| 12 | DAVIS Allan | 73 |
| 15 | JÉGOU Lilian | 71 |
| 19 | KOLOBNEV Alexandr | 64 |
| 20 | LAURENT Christophe | 72 |
| 33 | STEURS Geert | 77 |
| 40 | HERVÉ Cédric | 60 |
| 58 | STAM Danny | 64 |
| 60 | YATES Jeremy | 73 |
| 83 | KILLEEN Liam | 65 |
| 88 | DEKKERS Hans | 72 |
| 90 | ABAKOUMOV Igor | 68 |
| 91 | FLAHAUT Denis | 66 |
| 102 | SUTHERLAND Rory | 75 |