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 = 0.3 * weight + 9
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEVILLA Óscar | 62 |
| 2 | HAEDO Lucas Sebastián | 64 |
| 3 | MOLANO Juan Sebastián | 72 |
| 6 | ROMERO Jeffry | 55 |
| 12 | REYES Aldemar | 55 |
| 16 | DUARTE Fabio | 55 |
| 22 | SERPA José Rodolfo | 64 |
| 24 | VARGAS Walter | 69 |
| 26 | CHALAPUD Robinson | 63 |
| 27 | CAICEDO Jonathan Klever | 62 |
| 31 | PEDRAZA Wálter Fernando | 58 |
| 32 | ARDILA Mauricio Alberto | 58 |
| 33 | PÉREZ Marlon Alirio | 68 |
| 36 | OSPINA Dalivier | 62 |
| 45 | DÍAZ Edward Fabián | 68 |
| 49 | ORJUELA Fernando | 60 |
| 50 | PAREDES Jonathan | 63 |