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 = -0.2 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KUSZTOR Péter | 61 |
| 6 | DOULL Owain | 71 |
| 7 | LANDER Sebastian | 70 |
| 9 | OCKELOEN Jasper | 66 |
| 10 | DAVIES Scott | 66 |
| 11 | DE LA PARTE Víctor | 64 |
| 13 | WÜRTZ SCHMIDT Mads | 70 |
| 14 | BILLE Gaëtan | 67 |
| 16 | GRELLIER Fabien | 65 |
| 17 | KRAGH ANDERSEN Asbjørn | 72 |
| 19 | AERNOUTS Jim | 63 |
| 22 | PAUWELS Kevin | 60 |
| 23 | COENEN Johan | 67 |