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 - 5
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DEN BOSSCHE Fabio | 63 |
| 2 | LÜHRS Leslie | 83 |
| 4 | VAN GRIEKEN Jarne | 71 |
| 6 | HOHMANN Lars | 73 |
| 8 | LAURANCE Axel | 63 |
| 9 | VERWILT Mauro | 76 |
| 11 | HUYS Branko | 77 |
| 20 | DE DECKER Tijl | 73 |
| 21 | KARPENKO Gleb | 77 |
| 26 | FRETIN Milan | 70 |
| 28 | VAN DEN EYNDE Vince | 63 |
| 33 | BRABANDER Nick | 80 |
| 36 | JOLLY Maxime | 70 |
| 38 | ARTZ Bart | 72 |
| 41 | DENS Tuur | 81 |