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 = -0.2 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KAŇKOVSKÝ Alois | 83 |
| 2 | BUTS Vitaliy | 68 |
| 3 | KOROŠEC Rok | 75 |
| 4 | STEIMLE Jannik | 73 |
| 6 | STALLAERT Joeri | 72 |
| 7 | PODLASKI Michał | 68 |
| 8 | HAVIK Yoeri | 66 |
| 10 | DE PESTEL Sander | 74 |
| 11 | COLMAN Alex | 73 |
| 12 | MARIT Arne | 72 |
| 13 | NEUMAN Dominik | 72 |
| 14 | SCHELLING Patrick | 61 |
| 15 | STACHOWIAK Adam | 62 |
| 16 | BANASZEK Adrian | 79 |
| 17 | ČERNÝ Josef | 75 |