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 = 0.4 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | THIJS Erwin | 69 |
| 2 | BOMANS Carlo | 74 |
| 4 | BOOGERD Michael | 62 |
| 7 | DELRIEU David | 69 |
| 8 | VANSEVENANT Wim | 65 |
| 9 | GABRIEL Frédéric | 60 |
| 13 | HØJ Frank | 80 |
| 15 | LOTZ Marc | 76 |
| 31 | DE CLERCQ Hans | 80 |
| 37 | CAPPELLE Andy | 71 |
| 38 | DE GROOTE Thierry | 71 |
| 43 | BOVEN Jan | 65 |
| 47 | KOERTS Jans | 78 |
| 49 | NIERMANN Grischa | 64 |