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 - 12
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHAVES Esteban | 55 |
| 2 | DUMOULIN Tom | 69 |
| 3 | ROCHE Nicolas | 70 |
| 4 | MARTIN Dan | 59 |
| 5 | RODRÍGUEZ Joaquim | 58 |
| 6 | QUINTANA Nairo | 58 |
| 7 | VALVERDE Alejandro | 61 |
| 8 | FROOME Chris | 68 |
| 9 | MORENO Daniel | 59 |
| 10 | ARU Fabio | 63 |
| 11 | NIEVE Mikel | 62 |
| 12 | GONÇALVES José | 70 |
| 13 | LANDA Mikel | 61 |
| 14 | SICARD Romain | 63 |
| 15 | JIM Songezo | 66 |
| 16 | VAN GARDEREN Tejay | 72 |