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 = 0.6 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | ROJAS Gabriel Francisco | 59 |
| 13 | WIJFJE Tom | 66 |
| 14 | GUAMÁ Byron | 61 |
| 15 | CALDERÓN Sebastian | 76 |
| 19 | DE BRUIN Tjalle | 64 |
| 22 | FONSECA Andrey | 56 |
| 32 | CHALAPUD Robinson | 63 |
| 44 | RIVERA Kevin | 56 |
| 51 | JURADO Christofer Robín | 68 |
| 58 | BRENES Sebastian | 66 |
| 67 | STEMAN Jip | 71 |
| 89 | CUETO Juan José | 63 |