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 = 0.7 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LÓPEZ Robinson Fabián | 61 |
| 5 | REYES Aldemar | 55 |
| 8 | BRENES Sebastian | 66 |
| 9 | ARDILA Andrés Camilo | 59 |
| 10 | GUAMÁ Byron | 61 |
| 14 | OSORIO Alejandro | 62 |
| 16 | OSORIO Juan Felipe | 65 |
| 17 | MCGEOUGH Cormac | 76 |
| 26 | JURADO Christofer Robín | 68 |
| 27 | SANCHEZ Mateo | 55 |
| 28 | PRADO Ignacio de Jesús | 65 |
| 37 | VARGAS Walter | 69 |
| 38 | VÉLEZ Cristian Damián | 66 |
| 39 | RODAS Manuel | 68 |
| 41 | ARROYAVE Daniel | 68 |
| 42 | MUÑOZ Daniel | 57 |