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) |
|---|---|---|
| 1 | TRATNIK Jan | 67 |
| 2 | VAN HECKE Preben | 69 |
| 3 | TAARAMÄE Rein | 68 |
| 4 | FILOSI Iuri | 70 |
| 6 | HAIG Jack | 67 |
| 7 | DE KETELE Kenny | 66 |
| 9 | BERNAL Egan | 60 |
| 10 | WALLAYS Jens | 64 |
| 11 | ČANECKÝ Marek | 72 |
| 12 | KOCHETKOV Pavel | 70 |
| 13 | ROTA Lorenzo | 62 |
| 14 | GOLČER Jure | 66.5 |
| 15 | COLLI Daniele | 73 |
| 16 | NIKOLAEV Sergey | 66 |