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 = 3.2 * weight - 141
This means that on average for every extra kilogram weight a rider loses 3.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MONSALVE Yonathan | 62 |
| 13 | SOSA Iván Ramiro | 52 |
| 25 | AULAR Orluis | 65 |
| 33 | RODRÍGUEZ Jackson | 58 |
| 34 | UBETO Miguel Armando | 60 |
| 57 | CRUZ Adderlyn Félix | 59 |
| 72 | FRAPPORTI Mattia | 74 |
| 79 | RIVERA Kevin | 56 |
| 80 | RUIZ Diego Fernando | 58 |
| 94 | LINAREZ Leangel Rubén | 74 |
| 109 | SÁNCHEZ Augusto | 72 |
| 115 | PALINI Andrea | 67 |
| 116 | BENFATTO Marco | 71 |