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 = 0.1 * weight + 13
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ARVANITOU Nikiforos | 71 |
| 3 | GARIBBO Nicolò | 57 |
| 5 | PETROV Yordan | 66 |
| 12 | KOLEV Yoan | 64 |
| 14 | ERAUW Thiemo | 69 |
| 18 | OCHSENHOFER Peter | 88 |
| 20 | VELIA Olsian | 74 |
| 24 | INGLIS Joseph | 68 |
| 28 | DYANKOV Denis | 65 |
| 30 | POPOV Vasil | 70 |
| 31 | ROSSI Rene | 70 |
| 32 | LARSEN Ruben Zilas | 70 |
| 33 | ANGELOV Lachezar | 59 |
| 34 | GEORGIEV Stefan | 68 |