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 = -0.4 * weight + 41
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PIZIKS Arvis | 70 |
| 3 | DE JONGH Steven | 76 |
| 4 | EECKHOUT Niko | 73 |
| 5 | MICHAELSEN Lars | 79 |
| 6 | BAFFI Adriano | 70 |
| 7 | VERHEYEN Geert | 68 |
| 11 | DE CLERCQ Hans | 80 |
| 16 | DEMARBAIX Sébastien | 64 |
| 20 | MCGRORY Scott | 73 |
| 23 | DETILLOUX Christophe | 62 |
| 24 | GARDEYN Gorik | 75 |
| 30 | NYS Sven | 73 |