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 - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SCHUMACHER Stefan | 71 |
| 6 | FERRÍO Jorge | 51 |
| 7 | LOBATO Rubén | 64 |
| 8 | CALVENTE Manuel | 55 |
| 12 | SWEET Jay | 69 |
| 14 | VANLANDSCHOOT James | 67 |
| 16 | DE GROOTE Thierry | 71 |
| 17 | SIUTSOU Kanstantsin | 68 |
| 18 | DE LA FUENTE David | 67 |
| 22 | VERSTRAETEN Jan | 65 |
| 23 | VALVERDE Alejandro | 61 |