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 + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TIVANI German Nicolás | 67 |
| 5 | STÜSSI Colin | 68 |
| 6 | LINAREZ Leangel Rubén | 74 |
| 7 | ROTA Raúl | 64 |
| 9 | CARVALHO Antonio | 62 |
| 10 | DARDER Sergi | 67 |
| 12 | ESPARZA Unai | 55 |
| 13 | FERNANDES Luís | 63 |
| 14 | LÓPEZ DE ABETXUKO Andoni | 74 |
| 15 | PELEGRÍ Óscar | 63 |
| 16 | AGIRRE Jon | 55 |
| 17 | CAIXAS Rodrigo | 66 |
| 19 | FONTE César | 60 |
| 21 | CAMARGO Diego Andrés | 65 |
| 22 | OKAMIKA Ander | 70 |