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) |
|---|---|---|
| 1 | HOSTE Leif | 80 |
| 2 | GILBERT Philippe | 75 |
| 3 | VAN DEN BROECK Jurgen | 69 |
| 4 | ROSSELER Sébastien | 78 |
| 5 | CORNU Dominique | 78 |
| 6 | VANHEULE Bart | 76 |
| 7 | KAISEN Olivier | 82 |
| 8 | ROESEMS Bert | 81 |
| 9 | CAPPELLE Andy | 71 |
| 10 | STREEL Marc | 69 |
| 11 | DEVENYNS Dries | 65 |
| 12 | DE NEEF Steven | 75 |
| 13 | PEETERS Rob | 75 |
| 14 | BARBÉ Koen | 75 |
| 16 | SCHETS Steve | 74 |