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 = -0.3 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | FEYS Wim | 80 |
| 3 | VOSKAMP Bart | 75 |
| 4 | KNAVEN Servais | 68 |
| 5 | VIERHOUTEN Aart | 71 |
| 6 | DE CLERCQ Hans | 80 |
| 7 | BOOGERD Michael | 62 |
| 8 | KJÆRGAARD Steffen | 74 |
| 9 | MOERENHOUT Koos | 74 |
| 10 | IVANOV Sergei | 73 |
| 11 | VAN HYFTE Paul | 70 |
| 12 | BOVEN Jan | 65 |
| 13 | MARICHAL Thierry | 72 |
| 15 | HORNER Chris | 70 |