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 + 6
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | IVANOV Sergei | 73 |
| 2 | VAN BONDT Geert | 71 |
| 3 | HØJ Frank | 80 |
| 4 | VANSEVENANT Wim | 65 |
| 10 | PANKOV Oleg | 72 |
| 12 | BEECKMAN Koen | 66 |
| 14 | DE NEEF Steven | 75 |
| 15 | OMLOOP Geert | 78 |
| 17 | VAN LANCKER Kurt | 67 |
| 20 | DE CLERCQ Hans | 80 |
| 21 | BOMANS Carlo | 74 |
| 24 | VIERHOUTEN Aart | 71 |
| 27 | HAMMOND Roger | 71 |