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 = 7.9 * weight - 454
This means that on average for every extra kilogram weight a rider loses 7.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | CALDERÓN Sebastian | 76 |
| 5 | OSORIO Juan Felipe | 65 |
| 6 | PIRA Yesid Albeiro | 59 |
| 7 | LÓPEZ Robinson Fabián | 61 |
| 10 | CONTRERAS Rodrigo | 68 |
| 11 | ROJAS Brandon Alejandro | 64 |
| 12 | ALBA Juan Diego | 59 |
| 16 | GUAMÁ Byron | 61 |
| 18 | JURADO Christofer Robín | 68 |
| 19 | SUAZA Bernardo | 66 |
| 20 | OSORIO Alejandro | 62 |
| 21 | MUÑOZ Cristian Camilo | 63 |
| 24 | MCGEOUGH Cormac | 76 |
| 28 | PRADO Ignacio de Jesús | 65 |
| 29 | BRENES Sebastian | 66 |
| 31 | CASTILLO Ulises Alfredo | 72 |
| 34 | RESTREPO Jhonatan | 73 |
| 991 | AVILA Freddy Alejandro | 70 |