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 = 2.1 * weight - 94
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OSORIO Alejandro | 62 |
| 4 | REYES Aldemar | 55 |
| 9 | PARRA Heiner Rodrigo | 51 |
| 11 | OSORIO Juan Felipe | 65 |
| 14 | MUÑOZ Daniel | 57 |
| 15 | LÓPEZ Robinson Fabián | 61 |
| 22 | ARDILA Andrés Camilo | 59 |
| 34 | DUARTE Fabio | 55 |
| 36 | MCGEOUGH Cormac | 76 |
| 37 | VARGAS Walter | 69 |
| 38 | BRENES Sebastian | 66 |
| 44 | SANCHEZ Mateo | 55 |
| 45 | PRADO Ignacio de Jesús | 65 |
| 50 | RODAS Manuel | 68 |
| 73 | ARROYAVE Daniel | 68 |
| 74 | BUSTAMANTE Adrián | 65 |
| 77 | JURADO Christofer Robín | 68 |
| 84 | VÉLEZ Cristian Damián | 66 |