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 + 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AERTS Mario | 68 |
| 2 | DE CLERCQ Hans | 80 |
| 3 | VAN BONDT Geert | 71 |
| 5 | DETILLOUX Christophe | 62 |
| 6 | VANSEVENANT Wim | 65 |
| 9 | KROON Karsten | 67 |
| 11 | MARICHAL Thierry | 72 |
| 13 | PRONK Matthé | 73 |
| 15 | D'HOLLANDER Glenn | 74 |
| 21 | PANKOV Oleg | 72 |
| 31 | DE WOLF Steve | 67 |
| 32 | FEYS Wim | 80 |
| 33 | VAN LANCKER Kurt | 67 |
| 37 | OMLOOP Geert | 78 |
| 42 | CAPELLE Ludovic | 75 |
| 48 | DE WAELE Fabien | 62 |