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 | KABAS Maximilian | 60 |
| 2 | STÜSSI Colin | 68 |
| 3 | HUPPERTZ Joshua | 66 |
| 4 | LAURYSSEN Yorben | 67 |
| 5 | HOPKINS Kaden | 67 |
| 7 | RONHAAR Pim | 60 |
| 8 | MEILER Lukas | 65 |
| 9 | KERCKHAERT Jochem | 59 |
| 10 | NIEUWENHUIS Joris | 71 |
| 11 | VAN SCHIP Jan-Willem | 84 |
| 12 | GODFROID Olivier | 66 |
| 13 | WENZEL Mats | 68 |
| 14 | ŘEHA Filip | 72 |
| 15 | KUKRLE Michael | 73 |
| 19 | VAN DER HAAR Lars | 58 |