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 = 0.3 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | GARIBBO Nicolò | 57 |
| 5 | PETROV Yordan | 66 |
| 9 | BOUGLAS Georgios | 71 |
| 10 | ARVANITOU Nikiforos | 71 |
| 18 | KOLEV Yoan | 64 |
| 19 | OCHSENHOFER Peter | 88 |
| 21 | ERAUW Thiemo | 69 |
| 22 | GEORGIEV Stefan | 68 |
| 23 | DYANKOV Denis | 65 |
| 24 | ANGELOV Lachezar | 59 |
| 27 | INGLIS Joseph | 68 |
| 29 | VELIA Olsian | 74 |
| 33 | ROSSI Rene | 70 |
| 35 | POPOV Vasil | 70 |
| 37 | LARSEN Ruben Zilas | 70 |