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 + 17
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN AERT Wout | 78 |
| 2 | IMPEY Daryl | 72 |
| 3 | BERNAL Egan | 60 |
| 4 | VALVERDE Alejandro | 61 |
| 5 | POGAČAR Tadej | 66 |
| 6 | LUTSENKO Alexey | 74 |
| 7 | HIGUITA Sergio | 57 |
| 8 | SCHÄR Michael | 78 |
| 9 | COSNEFROY Benoît | 65 |
| 10 | ROGLIČ Primož | 65 |
| 11 | MARTIN Guillaume | 55 |