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 + 27
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEKKERS Hans | 72 |
| 3 | LADAGNOUS Matthieu | 73 |
| 4 | DRUJON Mathieu | 75 |
| 5 | FLAHAUT Denis | 66 |
| 6 | WAGNER Robert | 75 |
| 8 | DE MAAR Marc | 70 |
| 16 | REIHS Michael | 75 |
| 23 | SCHETS Steve | 74 |
| 25 | STREEL Marc | 69 |
| 26 | DEHAES Kenny | 73 |
| 31 | ROELANDTS Jürgen | 78 |
| 32 | ROUSSEAU Nicolas | 70 |
| 33 | VEELERS Tom | 75 |
| 35 | DIDIER Laurent | 68 |
| 36 | BOŽIČ Borut | 70 |