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 + 48
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DE WEERT Kevin | 70 |
| 3 | VAN LEIJEN Joost | 73 |
| 4 | VOECKLER Thomas | 71 |
| 5 | GEORGES Sylvain | 69 |
| 6 | COMMEYNE Davy | 70 |
| 7 | NYS Sven | 73 |
| 8 | CUSIN Rémi | 65 |
| 9 | TRONET Steven | 67 |
| 10 | KNEISKY Morgan | 68 |