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 + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HABTEAB Yoel | 61 |
| 3 | RAILEANU Cristian | 63 |
| 6 | RIKUNOV Petr | 71 |
| 7 | SZÓSTKA Paweł | 63 |
| 8 | MUSIALIK Jakub | 63 |
| 9 | GIERACKI Patryk | 71 |
| 13 | DE ROSSI Lucas | 70 |
| 14 | WEULINK Meindert | 62 |
| 22 | RASCH Jesper | 71 |
| 23 | IDERBOLD Bold | 58 |
| 26 | SIRIRONNACHAI Sarawut | 61 |