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 = -0.6 * weight + 56
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OSORIO Alejandro | 62 |
| 2 | CONTRERAS Rodrigo | 68 |
| 3 | BUSTAMANTE Adrián | 65 |
| 4 | CAMARGO Diego Andrés | 65 |
| 9 | PIRA Yesid Albeiro | 59 |
| 10 | CAICEDO Jonathan Klever | 62 |
| 15 | HENAO Sergio | 61 |
| 20 | QUINTERO Carlos | 63 |
| 21 | LÓPEZ Robinson Fabián | 61 |
| 23 | MUÑOZ Cristian Camilo | 63 |
| 29 | CADENA Edgar David | 63 |
| 34 | SANCHEZ Mateo | 55 |
| 35 | OCHOA Diego Antonio | 61 |
| 38 | DUARTE Fabio | 55 |
| 39 | ARROYAVE Daniel | 68 |
| 40 | SUAZA Bernardo | 66 |
| 42 | SOTO Nelson Andrés | 66 |