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 + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEYSEN Senne | 78 |
| 2 | VAN MOER Brent | 79 |
| 3 | CRAS Steff | 65 |
| 4 | GHYS Robbe | 72 |
| 5 | PHILIPSEN Jasper | 75 |
| 6 | HERREGODTS Rune | 70 |
| 8 | VERWILST Aaron | 68 |
| 11 | DEMEYERE Torsten | 78 |
| 12 | WEEMAES Sasha | 73 |
| 14 | APERS Ruben | 70 |
| 17 | SEYE Guillaume | 77 |
| 20 | VAN POUCKE Aaron | 68 |