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 = -0.1 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EECKHOUT Niko | 73 |
| 2 | VERSTREPEN Johan | 66 |
| 6 | DE CLERCQ Hans | 80 |
| 8 | DE JONGH Steven | 76 |
| 10 | HØJ Frank | 80 |
| 12 | FEYS Wim | 80 |
| 15 | MUSEEUW Johan | 71 |
| 16 | DE WILDE Etienne | 70 |
| 17 | THIJS Erwin | 69 |
| 18 | MATTAN Nico | 69 |
| 19 | BEECKMAN Koen | 66 |
| 21 | AERTS Mario | 68 |
| 26 | BÄCKSTEDT Magnus | 94 |
| 27 | VAN LANCKER Kurt | 67 |
| 28 | DETILLOUX Christophe | 62 |