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 = -0.6 * weight + 62
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PEERS Chris | 73 |
| 2 | EECKHOUT Niko | 73 |
| 3 | VAN DIJK Stefan | 74 |
| 4 | VANLANDSCHOOT James | 67 |
| 5 | OMLOOP Geert | 78 |
| 7 | BAK Lars Ytting | 76 |
| 10 | GAUMONT Philippe | 77 |
| 18 | DE FAUW Dimitri | 77 |
| 20 | KOERTS Jans | 78 |
| 21 | RETSCHKE Robert | 66 |
| 22 | KUYCKX Jan | 68 |
| 26 | CURVERS Roy | 73 |
| 27 | GONO Marcel | 69 |
| 28 | DEVOLDER Stijn | 72 |
| 31 | VERBIST Evert | 73 |