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 = 2.8 * weight - 132
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PICHETTA Ricardo | 56 |
| 6 | TOPCHANYUK Artem | 65 |
| 15 | RABITSCH Stephan | 69 |
| 21 | BOUGLAS Georgios | 71 |
| 26 | VASYLYUK Andriy | 65 |
| 33 | DRON Boris | 72 |
| 50 | DERNIES Tom | 68 |
| 51 | ZOIDL Riccardo | 63 |
| 58 | PETROV Daniel Bogomilov | 66 |
| 63 | DEMOITIÉ Antoine | 69 |
| 72 | TAMOURIDIS Ioannis | 70 |
| 74 | GRAF Andreas | 72 |
| 97 | LOVASSY Krisztián | 71 |
| 98 | GERGANOV Evgeni | 60 |
| 106 | TZORTZAKIS Polychronis | 80 |
| 112 | VASILYEV Maksym | 70 |