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 = 0.2 * weight + 14
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LÓPEZ Robinson Fabián | 61 |
| 3 | REYES Aldemar | 55 |
| 7 | OSORIO Alejandro | 62 |
| 9 | BRENES Sebastian | 66 |
| 11 | ARDILA Andrés Camilo | 59 |
| 15 | OSORIO Juan Felipe | 65 |
| 18 | MCGEOUGH Cormac | 76 |
| 27 | JURADO Christofer Robín | 68 |
| 28 | SANCHEZ Mateo | 55 |
| 29 | PRADO Ignacio de Jesús | 65 |
| 35 | VARGAS Walter | 69 |
| 36 | VÉLEZ Cristian Damián | 66 |
| 37 | RODAS Manuel | 68 |
| 40 | PARRA Heiner Rodrigo | 51 |
| 41 | MUÑOZ Daniel | 57 |
| 42 | ARROYAVE Daniel | 68 |