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 = 1.6 * weight - 69
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GUAMÁ Byron | 61 |
| 6 | WIJFJE Tom | 66 |
| 10 | CHALAPUD Robinson | 63 |
| 14 | JURADO Christofer Robín | 68 |
| 19 | FONSECA Andrey | 56 |
| 22 | DE BRUIN Tjalle | 64 |
| 26 | ROJAS Gabriel Francisco | 59 |
| 38 | RIVERA Kevin | 56 |
| 39 | BRENES Sebastian | 66 |
| 57 | CALDERÓN Sebastian | 76 |
| 71 | STEMAN Jip | 71 |
| 87 | CUETO Juan José | 63 |