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 - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SENTJENS Roy | 75 |
| 2 | HOOGERLAND Johnny | 65 |
| 3 | MAES Nikolas | 78 |
| 4 | LEUKEMANS Björn | 67 |
| 5 | TOMBAK Janek | 71 |
| 7 | DE WAELE Bert | 71 |
| 9 | HELMINEN Matti | 74 |
| 10 | VAN HUFFEL Wim | 66 |
| 11 | VANENDERT Jelle | 62 |
| 12 | GESINK Robert | 70 |
| 13 | KUYCKX Jan | 68 |
| 15 | HABEAUX Grégory | 68 |
| 16 | BAGDONAS Gediminas | 78 |
| 17 | DE GROOTE Thierry | 71 |
| 20 | HORRILLO Pedro | 76 |
| 22 | VAN LEIJEN Joost | 73 |