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 * weight + 11
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOHMANN Lars | 73 |
| 2 | VAN DEN BOSSCHE Fabio | 63 |
| 3 | LÜHRS Leslie | 83 |
| 6 | VAN GRIEKEN Jarne | 71 |
| 7 | KARPENKO Gleb | 77 |
| 9 | LAURANCE Axel | 66 |
| 10 | VERWILT Mauro | 76 |
| 13 | HUYS Branko | 77 |
| 15 | FRETIN Milan | 70 |
| 17 | BRABANDER Nick | 80 |
| 19 | WACKER Ludvig Anton | 68 |
| 20 | DENS Tuur | 81 |
| 22 | JOLLY Maxime | 70 |
| 40 | ARTZ Bart | 72 |