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 = -0.5 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAEDO Lucas Sebastián | 64 |
| 2 | MOLANO Juan Sebastián | 72 |
| 3 | SEVILLA Óscar | 62 |
| 4 | ROMERO Jeffry | 55 |
| 17 | SERPA José Rodolfo | 64 |
| 20 | VARGAS Walter | 69 |
| 21 | ACEVEDO Janier | 63 |
| 25 | CHALAPUD Robinson | 63 |
| 26 | PEDRAZA Wálter Fernando | 58 |
| 27 | CAICEDO Jonathan Klever | 62 |
| 28 | PÉREZ Marlon Alirio | 68 |
| 30 | ARDILA Mauricio Alberto | 58 |
| 31 | DUARTE Fabio | 55 |
| 32 | OSPINA Dalivier | 62 |
| 34 | DÍAZ Edward Fabián | 68 |
| 41 | ORJUELA Fernando | 60 |
| 46 | PAREDES Jonathan | 63 |