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 = -0.6 * weight + 61
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SIEBERG Marcel | 80 |
| 3 | GILBERT Philippe | 75 |
| 5 | VANSUMMEREN Johan | 79 |
| 6 | POSTHUMA Joost | 76 |
| 8 | DE WEERT Kevin | 70 |
| 9 | ROSSELER Sébastien | 78 |
| 10 | VAUGRENARD Benoît | 72 |
| 11 | MOURIS Jens | 91 |
| 12 | COYOT Arnaud | 76 |
| 14 | MUGERLI Matej | 68 |
| 16 | COUTOULY Cédric | 72 |
| 18 | GILING Bas | 72 |
| 24 | KOHL Bernhard | 61 |
| 26 | MONFORT Maxime | 66 |
| 28 | DOCKX Bart | 64 |
| 29 | DE VOCHT Wim | 78 |