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 = -0.2 * weight + 45
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HAYMAN Mathew | 78 |
| 4 | SCHEP Peter | 80 |
| 10 | COLLINELLI Andrea | 77 |
| 18 | SCHMITZ Bram | 77 |
| 29 | WACKER Eugen | 65 |
| 33 | VAN DIJK Stefan | 74 |
| 40 | LÖWIK Gerben | 72 |
| 48 | LAUK Andres | 77 |
| 54 | CARLSTRÖM Kjell | 70 |
| 73 | AUG Andrus | 83 |