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 = -0.7 * weight + 66
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | EECKHOUT Niko | 73 |
| 9 | PANKOV Oleg | 72 |
| 12 | OMLOOP Geert | 78 |
| 13 | PRONK Matthé | 73 |
| 17 | GUYTON Scott | 74 |
| 18 | HAMMOND Roger | 71 |
| 19 | CORVERS Frank | 77 |
| 21 | BRUYLANDTS Dave | 63 |
| 22 | DE CLERCQ Mario | 66 |
| 28 | DE WILDE Etienne | 70 |