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 = -1.5 * weight + 110
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DE WILDE Etienne | 70 |
| 3 | JALABERT Laurent | 66 |
| 4 | SKIBBY Jesper | 70 |
| 5 | ARNTZ Marcel | 70 |
| 8 | GAYANT Martial | 69 |
| 9 | GARMENDIA Aitor | 68 |
| 11 | BRUYNEEL Johan | 71 |
| 16 | SIMON François | 70 |
| 18 | BROCHARD Laurent | 68 |
| 19 | VERSTREPEN Johan | 66 |
| 20 | SLANE Paul | 64 |