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 + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN HECKE Preben | 69 |
| 2 | BRANDT Christophe | 66 |
| 3 | KNAVEN Servais | 68 |
| 5 | VOIGT Jens | 76 |
| 6 | VANLANDSCHOOT James | 67 |
| 8 | DE VOCHT Wim | 78 |
| 9 | NUYENS Nick | 68 |
| 10 | PIIL Jakob Storm | 65 |
| 11 | VAN HYFTE Paul | 70 |
| 12 | MONFORT Maxime | 66 |
| 13 | PRONK Matthé | 73 |
| 14 | ALDAG Rolf | 75 |
| 15 | GILBERT Philippe | 75 |
| 16 | ROOIJAKKERS Piet | 68 |
| 17 | MOERENHOUT Koos | 74 |
| 18 | BOOGERD Michael | 62 |