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 = -0.5 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GONZÁLEZ Mario | 65 |
| 2 | ALARCÓN Raúl | 72 |
| 3 | IRIZAR Julen | 67 |
| 4 | DE LA FUENTE David | 67 |
| 5 | PAGE Dylan | 64 |
| 6 | LÓPEZ-CÓZAR Juan Antonio | 70 |
| 7 | MATIAS João | 72 |
| 8 | BARTHE Cyril | 70 |
| 9 | SILVA Rafael | 65 |
| 10 | PELEGRÍ Óscar | 63 |
| 11 | PINTO Edgar | 58 |
| 12 | FONTE César | 60 |
| 13 | CAMPOS Francisco | 60 |
| 14 | NEVES José | 61 |
| 15 | STACCHIOTTI Riccardo | 70 |
| 16 | MARTINGIL César | 67 |
| 17 | FERRARI Fabricio | 64 |