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 = 0.2 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERNAL Egan | 60 |
| 2 | ROTA Lorenzo | 62 |
| 3 | SCHÖNBERGER Sebastian | 64 |
| 4 | CICCONE Giulio | 58 |
| 5 | ARSLANOV Ildar | 63 |
| 6 | SOSA Iván Ramiro | 52 |
| 7 | SESSLER Nícolas | 58 |
| 8 | ORSINI Umberto | 67 |
| 9 | MARTÍNEZ Daniel Felipe | 63 |
| 10 | RODRÍGUEZ Cristián | 59 |
| 11 | ZURLO Federico | 70 |
| 12 | RIABUSHENKO Alexandr | 61 |
| 13 | VELASCO Simone | 59 |
| 14 | VENDRAME Andrea | 60 |
| 15 | DÍAZ José Manuel | 64 |
| 16 | GAMPER Patrick | 80 |
| 18 | NIV Guy | 58 |