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 + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GHYSELINCK Jan | 74 |
| 3 | VERMOTE Julien | 74 |
| 6 | VANDOUSSELAERE Sven | 71 |
| 7 | DEBUSSCHERE Jens | 77 |
| 11 | TERWEDUWE Kenny | 67 |
| 13 | EIJSSEN Yannick | 60 |
| 14 | VANENDERT Dennis | 64 |
| 16 | JOSEPH Gregory | 67 |
| 18 | DOCKX Gert | 64 |
| 20 | DRON Boris | 72 |
| 25 | DE VREESE Laurens | 78 |