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 = -0.2 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE WILDE Etienne | 70 |
| 4 | GILMORE Matthew | 67 |
| 6 | FEYS Wim | 80 |
| 8 | EECKHOUT Niko | 73 |
| 12 | STREEL Marc | 69 |
| 14 | VERSTREPEN Johan | 66 |
| 17 | VAN DE WALLE Jurgen | 74 |
| 19 | OMLOOP Geert | 78 |
| 23 | GUYTON Scott | 74 |
| 30 | VANSEVENANT Wim | 65 |