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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | QUINTANA Nairo | 58 |
| 2 | ROCHE Nicolas | 70 |
| 3 | ROGLIČ Primož | 65 |
| 4 | URÁN Rigoberto | 63 |
| 5 | ARU Fabio | 63 |
| 6 | NIEVE Mikel | 62 |
| 7 | HIGUITA Sergio | 57 |
| 8 | POGAČAR Tadej | 66 |
| 9 | ARANBURU Alex | 63 |
| 10 | VALVERDE Alejandro | 61 |
| 11 | LATOUR Pierre | 66 |
| 12 | ARMÉE Sander | 72 |
| 13 | KELDERMAN Wilco | 65 |
| 14 | CHAVES Esteban | 55 |
| 15 | BENNETT George | 58 |
| 16 | ŠTYBAR Zdeněk | 68 |
| 17 | LÓPEZ Miguel Ángel | 59 |