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 = 1.1 * weight - 59
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PIRA Yesid Albeiro | 59 |
| 3 | CAMARGO Diego Andrés | 65 |
| 5 | CAICEDO Jonathan Klever | 62 |
| 6 | CONTRERAS Rodrigo | 68 |
| 8 | LÓPEZ Robinson Fabián | 61 |
| 12 | SUAZA Bernardo | 66 |
| 15 | OSORIO Alejandro | 62 |
| 19 | BUSTAMANTE Adrián | 65 |
| 23 | QUINTERO Carlos | 63 |
| 26 | CADENA Edgar David | 63 |
| 30 | MCGEOUGH Cormac | 76 |