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 + 97
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOTO Nelson Andrés | 66 |
| 2 | JURADO Christofer Robín | 68 |
| 3 | LINARES Carlos Daniel | 80 |
| 10 | ARANGO Juan Esteban | 62 |
| 13 | CUETO Juan José | 63 |
| 15 | RODAS Manuel | 68 |
| 16 | ÁLVAREZ Miguel Luis | 60 |
| 17 | QUINTERO Leonel | 67 |
| 23 | MILÁN Diego | 67 |
| 32 | CONTRERAS Rodrigo | 68 |
| 33 | BAILEY Zefal Trevor | 65 |
| 43 | VARGAS Walter | 69 |
| 45 | PRADO Ignacio de Jesús | 65 |
| 52 | CRUZ Adderlyn Félix | 59 |