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 * weight + 10
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHEREL Mikaël | 65 |
| 2 | BOLE Grega | 69 |
| 3 | BIESEK Szymon | 66 |
| 4 | VELITS Peter | 63 |
| 5 | VELITS Martin | 70 |
| 6 | BODNAR Maciej | 77 |
| 7 | DI GRÉGORIO Rémy | 67 |
| 8 | SCHÄR Michael | 78 |
| 11 | JACOBS Pieter | 68 |
| 13 | BOOM Lars | 75 |
| 14 | VACHON Florian | 65 |
| 15 | SCHLECK Andy | 68 |
| 16 | VANENDERT Jelle | 62 |