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 = 2.8 * weight - 126
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MONSALVE Yonathan | 62 |
| 7 | RODRÍGUEZ Jackson | 58 |
| 11 | AULAR Orluis | 65 |
| 13 | SOSA Iván Ramiro | 52 |
| 22 | RUIZ Diego Fernando | 58 |
| 25 | YUSTRE Kristian Javier | 58 |
| 37 | FRAPPORTI Mattia | 74 |
| 52 | UBETO Miguel Armando | 60 |
| 66 | CRUZ Adderlyn Félix | 59 |
| 85 | RIVERA Kevin | 56 |
| 86 | PALINI Andrea | 67 |
| 90 | BENFATTO Marco | 71 |
| 91 | SÁNCHEZ Augusto | 72 |
| 109 | LINAREZ Leangel Rubén | 74 |