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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN DE PAAR Jarne | 79 |
| 3 | MARSMAN Tim | 75 |
| 5 | MACLEOD Callum | 57 |
| 7 | TIDBALL William | 70 |
| 8 | LOOTENS Gust | 74 |
| 9 | VANGHELUWE Warre | 79 |
| 10 | BANASZEK Norbert | 75 |
| 13 | VAN SINTMAARTENSDIJK Daan | 77 |
| 14 | NEUMAN Dominik | 72 |
| 15 | DAUPHIN Florian | 70 |
| 16 | KNECHT Noah | 66 |