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 + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BALDATO Fabio | 60 |
| 2 | BOUYER Franck | 65 |
| 5 | SCHEIRLINCKX Staf | 78 |
| 6 | LHUILLIER Régis | 69 |
| 8 | PINEAU Jérôme | 65 |
| 9 | FÉDRIGO Pierrick | 66 |
| 10 | FARAZIJN Peter | 69 |
| 11 | VAN DE WALLE Jurgen | 74 |
| 12 | BERNUCCI Lorenzo | 72 |
| 14 | COENEN Johan | 67 |
| 15 | PLANCKAERT Jo | 70 |
| 16 | GABRIEL Frédéric | 60 |
| 17 | CHARTEAU Anthony | 67 |
| 18 | LEFÈVRE Laurent | 67 |
| 20 | VANSEVENANT Wim | 65 |