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 = 3.6 * weight - 176
This means that on average for every extra kilogram weight a rider loses 3.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MONSALVE Yonathan | 62 |
| 5 | SOSA Iván Ramiro | 52 |
| 10 | RODRÍGUEZ Jackson | 58 |
| 42 | CRUZ Adderlyn Félix | 59 |
| 46 | UBETO Miguel Armando | 60 |
| 70 | FRAPPORTI Mattia | 74 |
| 72 | PALINI Andrea | 67 |
| 73 | RUIZ Diego Fernando | 58 |
| 80 | AULAR Orluis | 65 |
| 89 | LINAREZ Leangel Rubén | 74 |
| 105 | SÁNCHEZ Augusto | 72 |