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 + 29
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOBBS Noah | 67 |
| 3 | KOCKELMANN Mathieu | 70 |
| 14 | AZNAR Hugo | 59 |
| 15 | KESS Alexandre | 70 |
| 16 | MARTINS João | 74 |
| 17 | PŘIDAL Tomáš | 66 |
| 18 | DOCKX Aaron | 56 |
| 27 | KESSLER Cole | 75 |
| 30 | DECOMBLE Maxime | 62 |
| 33 | POMORSKI Michał | 76 |
| 39 | REX Tim | 70 |
| 44 | TAVARES Gonçalo | 58 |