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 = 0.6 * weight - 30
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERZIN Evgeni | 64 |
| 2 | ZÜLLE Alex | 72 |
| 3 | FRATTINI Francesco | 60 |
| 4 | ELLI Alberto | 71 |
| 6 | TOTSCHNIG Georg | 62 |
| 7 | GARCÍA CASAS Félix Miguel | 63 |
| 8 | CUESTA Iñigo | 62 |
| 9 | OLANO Abraham | 70 |
| 10 | ZANETTE Denis | 82 |
| 11 | PICCOLI Mariano | 64 |
| 15 | BLANCO Santiago | 66 |
| 16 | RODRIGUES Orlando Sergio | 68 |
| 22 | SKIBBY Jesper | 70 |
| 24 | RIIS Bjarne | 71 |
| 25 | KONYSHEV Dmitry | 77 |
| 29 | BRUYNEEL Johan | 71 |