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 = -0.3 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | RENDERS Sven | 63 |
| 5 | VEIKKANEN Jussi | 66 |
| 6 | FLAHAUT Denis | 66 |
| 8 | DE WILDE Sjef | 74 |
| 9 | HUPOND Thierry | 65 |
| 10 | DE NEEF Steven | 75 |
| 11 | CURVERS Roy | 73 |
| 15 | PAUWELS Kevin | 60 |
| 16 | STEURS Geert | 77 |
| 20 | LEVARLET Guillaume | 67 |
| 22 | LELAY David | 67 |
| 38 | DUCLOS-LASSALLE Hervé | 63 |