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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GAUTHERAT Pierre | 70 |
| 4 | HARTEEL Jelle | 66 |
| 5 | ARRIGHETTI Nicolò | 74 |
| 6 | VANDENSTORME Dylan | 64 |
| 7 | ŤOUPALÍK Jakub | 65 |
| 8 | GLIVAR Gal | 64 |
| 9 | DE CASSAN Davide | 61 |
| 11 | LOPES Lucas | 59 |
| 12 | POMORSKI Michał | 76 |
| 14 | KADLEC Milan | 61 |