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 = -0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN LERBERGHE Bert | 83 |
| 1 | FRISON Frederik | 84 |
| 1 | COENEN Dennis | 69 |
| 3 | RIESEBEEK Oscar | 78 |
| 3 | REINDERS Elmar | 78.1 |
| 3 | VAN DER HAAR Lars | 58 |
| 6 | VAN GOETHEM Brian | 77 |
| 6 | ADAMS Jens | 66 |
| 7 | HAVIK Yoeri | 66 |
| 9 | EDMONDSON Joshua | 62 |
| 9 | DUNNE Conor | 88 |
| 11 | VAN MEIRHAEGHE Jef | 71 |
| 14 | MEINTJES Louis | 58 |
| 19 | SEGERS Joren | 78 |
| 20 | SWEECK Hendrik | 72 |