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 = 2.1 * weight - 108
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GALPARSORO Dionisio | 67 |
| 4 | ALBIZU Joseba | 61 |
| 14 | VAN HECKE Preben | 69 |
| 15 | KAGGESTAD Mads | 66 |
| 17 | COBO Juan José | 62 |
| 25 | PÉREZ Alan | 66 |
| 31 | RASCH Gabriel | 72 |
| 35 | ESKOV Nikita | 73 |
| 40 | VAN DEN BROECK Jurgen | 69 |
| 59 | IRIZAR Markel | 73 |
| 61 | MAYOZ Iban | 62 |
| 66 | FERNÁNDEZ Koldo | 71 |