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 - 90
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | DUCLOS-LASSALLE Hervé | 63 |
| 9 | CORNU Dominique | 78 |
| 10 | HEGREBERG Morten | 72 |
| 19 | LISABETH Kenny | 75 |
| 26 | VANHEULE Bart | 76 |
| 31 | BLACKGROVE Heath | 65 |
| 49 | VANDENBERGH Stijn | 86 |
| 62 | EICHLER Markus | 78 |
| 72 | DE FAUW Dimitri | 77 |