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 = 0.1 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | IVERSEN Rasmus Byriel | 77 |
| 2 | VAN POUCKE Aaron | 68 |
| 3 | VAN DEN BERG Lars | 72 |
| 4 | BERRADE Urko | 72 |
| 5 | VAN DER HORST Dennis | 62 |
| 6 | VERWILST Aaron | 68 |
| 7 | KOSTER Adne | 65 |
| 8 | STORK Florian | 65 |
| 10 | O'BRIEN Kelland | 79 |
| 11 | PEÑALVER Manuel | 67 |
| 13 | SCOTT Cameron | 80 |
| 14 | VAN SINTMAARTENSDIJK Daan | 77 |
| 17 | LOOHUIS Lars | 82 |
| 19 | FRANZ Toni | 60 |