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 + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VALVERDE Alejandro | 61 |
| 2 | FREIRE Óscar | 63 |
| 3 | LE MÉVEL Christophe | 61 |
| 4 | HESJEDAL Ryder | 73 |
| 5 | KOLOBNEV Alexandr | 64 |
| 6 | VAN DEN BROECK Jurgen | 69 |
| 7 | URÁN Rigoberto | 63 |
| 8 | ZUBELDIA Haimar | 68 |
| 9 | MARTIN Dan | 59 |
| 10 | INTXAUSTI Beñat | 61 |
| 11 | CASAR Sandy | 63 |
| 12 | HERMANS Ben | 72 |
| 13 | SCHLECK Fränk | 65 |
| 14 | RODRÍGUEZ Joaquim | 58 |
| 15 | PERAUD Jean-Christophe | 62 |