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 = -0.4 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN SINTMAARTENSDIJK Daan | 77 |
| 2 | FORTIN Filippo | 78 |
| 3 | STEININGER Fabian | 64 |
| 7 | MALMBERG Matias | 68 |
| 8 | DE JONG Timo | 72 |
| 9 | RÜEGG Lukas | 66 |
| 10 | KAMP Ryan | 70 |
| 12 | BEKAERT Yentl | 62 |
| 13 | COLEMAN Zak | 70 |
| 14 | KOPECKÝ Tomáš | 73 |
| 15 | FEELEY Daire | 59 |