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 = -1.2 * weight + 107
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | THOMAS Geraint | 71 |
| 3 | SOKOLOV Evgeny | 70 |
| 5 | FLAMMANG Tom | 80 |
| 15 | TIMMER Albert | 77 |
| 17 | TENNANT Andrew | 82 |
| 18 | RASCH Gabriel | 72 |
| 22 | BODNAR Maciej | 77 |
| 25 | BELLEMAKERS Dirk | 75 |
| 27 | VAN LEIJEN Joost | 73 |
| 32 | GASTAUER Ben | 73 |
| 36 | VINTHER Troels Rønning | 68 |
| 37 | VAN GROEN Arnoud | 69 |
| 38 | MOLLEMA Bauke | 64 |