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 = 7.1 * weight - 398
This means that on average for every extra kilogram weight a rider loses 7.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | OSORIO Alejandro | 62 |
| 3 | CALDERÓN Sebastian | 76 |
| 4 | JURADO Christofer Robín | 68 |
| 5 | PIRA Yesid Albeiro | 59 |
| 6 | LÓPEZ Robinson Fabián | 61 |
| 8 | CASTILLO Ulises Alfredo | 72 |
| 9 | MCGEOUGH Cormac | 76 |
| 10 | ROJAS Brandon Alejandro | 64 |
| 13 | OSORIO Juan Felipe | 65 |
| 21 | GUAMÁ Byron | 61 |
| 24 | CONTRERAS Rodrigo | 68 |
| 26 | ALBA Juan Diego | 59 |
| 29 | RESTREPO Jhonatan | 73 |
| 31 | SUAZA Bernardo | 66 |
| 32 | MUÑOZ Cristian Camilo | 63 |
| 36 | PRADO Ignacio de Jesús | 65 |
| 37 | BRENES Sebastian | 66 |
| 991 | AVILA Freddy Alejandro | 70 |