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 = -0.4 * weight + 57
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OCKELOEN Jasper | 66 |
| 5 | ASSELMAN Jesper | 69 |
| 7 | VAN DER LIJKE Nick | 61 |
| 8 | EISING Tijmen | 80 |
| 11 | HOFLAND Moreno | 71 |
| 12 | GOOS Marc | 65 |
| 13 | KREDER Wesley | 71 |
| 19 | VINGERLING Michael | 75 |
| 25 | MARKUS Barry | 75 |
| 28 | SCHOONBROODT Bob | 78 |
| 32 | KRAUWEL Bas | 77 |
| 49 | KELDERMAN Wilco | 65 |
| 50 | LAMMERTINK Maurits | 61 |
| 54 | DE GREEF Robbert | 65 |
| 56 | KONING Peter | 77 |
| 65 | HAVIK Yoeri | 66 |