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 = -0.9 * weight + 82
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOLLANDERS Dries | 70 |
| 2 | KVASINA Matija | 72 |
| 4 | EISING Tijmen | 80 |
| 6 | VAN GOETHEM Brian | 77 |
| 12 | VAN MEIRHAEGHE Jef | 71 |
| 14 | CIEŚLIK Paweł | 65 |
| 15 | EICHLER Markus | 78 |
| 16 | THILL Tom | 73 |
| 17 | LUNKE Sindre | 69 |
| 19 | SCHMIDT Fabien | 63 |
| 21 | CASTELIJNS Twan | 70 |
| 22 | VINTHER Troels Rønning | 68 |
| 26 | MORTENSEN Martin | 70 |
| 29 | VOGONDY Nicolas | 62 |