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 - 33
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | NEIRYNCK Kevin | 71 |
| 3 | JÉRÔME Vincent | 65 |
| 4 | NUYENS Nick | 68 |
| 5 | COZZA Steven | 70 |
| 6 | EECKHOUT Niko | 73 |
| 7 | VAITKUS Tomas | 75 |
| 8 | SCOGNAMIGLIO Carlo | 67 |
| 9 | KERN Christophe | 72 |
| 10 | MINARD Sébastien | 65 |
| 11 | HAYMAN Mathew | 78 |
| 12 | MARICHAL Thierry | 72 |
| 13 | VAN IMPE Kevin | 75 |
| 14 | ROSSELER Sébastien | 78 |
| 15 | AUGER Ludovic | 78 |