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 + 60
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REINDERS Elmar | 78.1 |
| 5 | RIESEBEEK Oscar | 78 |
| 10 | HAVIK Yoeri | 66 |
| 11 | VAN GOETHEM Brian | 77 |
| 13 | COENEN Dennis | 69 |
| 14 | VAN DER HAAR Lars | 58 |
| 15 | VAN LERBERGHE Bert | 83 |
| 18 | VAN MEIRHAEGHE Jef | 71 |
| 27 | DUNNE Conor | 88 |
| 31 | ADAMS Jens | 66 |
| 33 | FRISON Frederik | 84 |
| 36 | EDMONDSON Joshua | 62 |
| 65 | MEINTJES Louis | 58 |
| 79 | SEGERS Joren | 78 |
| 120 | SWEECK Hendrik | 72 |