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 = 1.6 * weight - 92
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | LAUK Andres | 77 |
| 12 | LÖWIK Gerben | 72 |
| 14 | VAN DIJK Stefan | 74 |
| 17 | SCHEP Peter | 80 |
| 20 | WACKER Eugen | 65 |
| 28 | SCHMITZ Bram | 77 |
| 29 | HAYMAN Mathew | 78 |
| 31 | CARLSTRÖM Kjell | 70 |
| 35 | COLLINELLI Andrea | 77 |
| 69 | AUG Andrus | 83 |