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 = 0.3 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AULAR Orluis | 65 |
| 2 | LÓPEZ Miguel Ángel | 59 |
| 3 | HOPKINS Kaden | 67 |
| 4 | GONZÁLEZ Abner | 60 |
| 8 | WHITE Conor | 79 |
| 9 | MILÁN Diego | 67 |
| 10 | DELGADO Ricardo | 67 |
| 11 | PRADO Ignacio de Jesús | 65 |
| 15 | JURADO Christofer Robín | 68 |
| 16 | CASTILLO Ulises Alfredo | 72 |
| 26 | BAILEY Zefal Trevor | 65 |
| 29 | SOTO Nelson Andrés | 66 |