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 = 2.4 * weight - 125
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZOIDL Riccardo | 63 |
| 3 | PICHETTA Ricardo | 56 |
| 10 | TOPCHANYUK Artem | 65 |
| 11 | DRON Boris | 72 |
| 19 | VASYLYUK Andriy | 65 |
| 22 | RABITSCH Stephan | 69 |
| 23 | DERNIES Tom | 68 |
| 39 | DEMOITIÉ Antoine | 69 |
| 41 | LOVASSY Krisztián | 71 |
| 45 | GERGANOV Evgeni | 60 |
| 50 | VASILYEV Maksym | 70 |
| 57 | TAMOURIDIS Ioannis | 70 |
| 59 | BOUGLAS Georgios | 71 |
| 61 | GRAF Andreas | 72 |
| 71 | TZORTZAKIS Polychronis | 80 |
| 85 | PETROV Daniel Bogomilov | 66 |