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 = 1.1 * weight - 38
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BRUTT Pavel | 70 |
| 7 | AGIRRE Josu | 68 |
| 10 | TONDO Xavier | 68 |
| 12 | NAVARRO Daniel | 60 |
| 16 | KLIMOV Sergey | 69 |
| 19 | VEUCHELEN Frederik | 75 |
| 36 | TRUSOV Nikolay | 77 |
| 37 | IGNATIEV Mikhail | 67 |
| 39 | DE SCHROODER Benny | 61 |
| 41 | PARDILLA Sergio | 65 |
| 48 | ZONNEVELD Thijs | 63 |
| 54 | BLAIN Alexandre | 82 |
| 56 | MERTENS Pieter | 67 |
| 65 | AVERIN Maksym | 74 |
| 84 | ORTEGA Manuel | 68 |
| 85 | BARBÉ Koen | 75 |