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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAFFI Adriano | 70 |
| 2 | BREUKINK Erik | 70 |
| 3 | FONDRIEST Maurizio | 70 |
| 4 | GARMENDIA Aitor | 68 |
| 6 | PERON Andrea | 70 |
| 8 | CHIAPPUCCI Claudio | 67 |
| 9 | CABELLO Francisco | 72 |
| 12 | HOFFMAN Tristan | 80 |
| 13 | BLANCO Santiago | 66 |
| 15 | SVORADA Ján | 76 |
| 17 | MAURI Melchor | 68 |
| 18 | NIJDAM Jelle | 70 |
| 19 | NIETO Germán | 68 |