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 = -0.1 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VERVENNE Jonathan | 72 |
| 2 | VAN KERCKHOVE Matisse | 70 |
| 4 | VERBRUGGHE Jens | 64 |
| 5 | MARIVOET Duarte | 59 |
| 6 | DE CEUSTER Milan | 76 |
| 11 | TAILLIEU Aldo | 68 |
| 12 | BOLLE Bert | 62 |
| 15 | HEMERYCK Wout | 72 |
| 17 | VANHAECKE Arno | 65 |