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 + 14
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GILBERT Philippe | 75 |
| 3 | DE KORT Koen | 69 |
| 8 | KOHL Bernhard | 61 |
| 9 | VAN HECKE Preben | 69 |
| 14 | SCHILLINGER Andreas | 72 |
| 15 | DE WEERT Kevin | 70 |
| 18 | DE VOCHT Wim | 78 |
| 20 | KRIIT Kalle | 63 |
| 28 | BENETSEDER Josef | 65 |
| 33 | FOTHEN Thomas | 71 |
| 41 | VAN HUMMEL Kenny | 64 |
| 56 | VAN DEN BROECK Jurgen | 69 |
| 62 | WAGNER Robert | 75 |
| 66 | MÜLLER Christian | 69 |