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 = 0.9 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CHALAPUD Robinson | 63 |
| 6 | RIVERA Kevin | 56 |
| 13 | ROJAS Gabriel Francisco | 59 |
| 22 | CALDERÓN Sebastian | 76 |
| 28 | GUAMÁ Byron | 61 |
| 36 | STEMAN Jip | 71 |
| 37 | FONSECA Andrey | 56 |
| 54 | BRENES Sebastian | 66 |
| 59 | CUETO Juan José | 63 |
| 74 | DE BRUIN Tjalle | 64 |
| 80 | WIJFJE Tom | 66 |