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 = -0.9 * weight + 95
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DE VOCHT Wim | 78 |
| 8 | GILBERT Philippe | 75 |
| 9 | SCHILLINGER Andreas | 72 |
| 10 | DE KORT Koen | 69 |
| 18 | FOTHEN Thomas | 71 |
| 25 | KRIIT Kalle | 63 |
| 29 | KOHL Bernhard | 61 |
| 37 | BENETSEDER Josef | 65 |
| 38 | VAN HECKE Preben | 69 |
| 39 | DE WEERT Kevin | 70 |
| 44 | VAN HUMMEL Kenny | 64 |
| 73 | MÜLLER Christian | 69 |
| 74 | WAGNER Robert | 75 |
| 76 | VAN DEN BROECK Jurgen | 69 |