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 = -0.8 * weight + 73
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OSORIO Alejandro | 62 |
| 2 | CONTRERAS Rodrigo | 68 |
| 3 | BUSTAMANTE Adrián | 65 |
| 5 | CAMARGO Diego Andrés | 65 |
| 7 | PIRA Yesid Albeiro | 59 |
| 12 | CAICEDO Jonathan Klever | 62 |
| 16 | HENAO Sergio | 61 |
| 19 | LÓPEZ Robinson Fabián | 61 |
| 21 | QUINTERO Carlos | 63 |
| 22 | CADENA Edgar David | 63 |
| 25 | MUÑOZ Cristian Camilo | 63 |
| 28 | ARROYAVE Daniel | 68 |
| 34 | SANCHEZ Mateo | 55 |
| 36 | OCHOA Diego Antonio | 61 |
| 39 | DUARTE Fabio | 55 |
| 40 | SOTO Nelson Andrés | 66 |
| 41 | SUAZA Bernardo | 66 |