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 | SANZ Enrique | 67 |
| 3 | GARCÍA DE MATEOS Vicente | 68 |
| 4 | CULLAIGH Gabriel | 78 |
| 5 | BARTHE Cyril | 70 |
| 6 | FOUCHÉ James | 71 |
| 7 | HIGUITA Sergio | 57 |
| 8 | BRITTON Rhys | 69 |
| 9 | GRIGOREV Aleksandr | 73 |
| 10 | SOTO Antonio Jesús | 66 |
| 12 | MESTRE Ricardo | 58 |
| 13 | PINTO Edgar | 58 |
| 14 | FOSS Tobias | 74 |
| 15 | ALARCÓN Raúl | 72 |