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 = 0.2 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VANDEWALLE Kristof | 74 |
| 2 | WELLENS Tim | 71 |
| 3 | SERRY Pieter | 66 |
| 4 | GILBERT Philippe | 75 |
| 5 | DEVOLDER Stijn | 72 |
| 6 | HERMANS Ben | 72 |
| 7 | CAMPENAERTS Victor | 68 |
| 8 | GHYSELINCK Jan | 74 |
| 9 | BOUCHER David | 78 |
| 10 | THEUNS Edward | 72 |
| 11 | STEELS Stijn | 78 |
| 12 | DE GREEF Francis | 77 |
| 13 | DE TROYER Tim | 72 |
| 14 | BILLE Gaëtan | 67 |
| 15 | VAN KEIRSBULCK Guillaume | 89 |
| 16 | EVRARD Laurent | 65 |