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 = -0.3 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HINCAPIE George | 83 |
| 2 | HUSHOVD Thor | 83 |
| 3 | HUNTER Robert | 72 |
| 4 | FLECHA Juan Antonio | 72 |
| 5 | ROBERTS Luke | 71 |
| 6 | QUINZIATO Manuel | 74 |
| 7 | DELAGE Mickaël | 70 |
| 8 | HAUSSLER Heinrich | 74 |
| 9 | DUMOULIN Samuel | 57 |
| 10 | GASPAROTTO Enrico | 65 |
| 11 | FERNÁNDEZ Koldo | 71 |
| 12 | LANG Sebastian | 77 |
| 13 | GESLIN Anthony | 68 |
| 14 | VERBRUGGHE Rik | 70 |
| 15 | DAVIS Allan | 73 |
| 16 | DE FAUW Dimitri | 77 |
| 17 | BOSSONI Paolo | 62 |