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 = 1.1 * weight - 31
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
3 | RIVERA Kevin | 56 |
4 | ROJAS Gabriel Francisco | 59 |
18 | CALDERÓN Sebastian | 76 |
26 | GUAMÁ Byron | 61 |
30 | JURADO Christofer Robín | 68 |
36 | CHALAPUD Robinson | 63 |
40 | FONSECA Andrey | 56 |
50 | DE BRUIN Tjalle | 64 |
57 | STEMAN Jip | 71 |
64 | WIJFJE Tom | 66 |
87 | CUETO Juan José | 63 |
89 | BRENES Sebastian | 66 |