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 = 4.5 * weight - 226
This means that on average for every extra kilogram weight a rider loses 4.5 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
3 | SOSA Iván Ramiro | 52 |
5 | MONSALVE Yonathan | 62 |
14 | RODRÍGUEZ Jackson | 58 |
32 | AULAR Orluis | 65 |
33 | RIVERA Kevin | 56 |
40 | UBETO Miguel Armando | 60 |
57 | RUIZ Diego Fernando | 58 |
59 | YUSTRE Kristian Javier | 58 |
72 | CRUZ Adderlyn Félix | 59 |
95 | FRAPPORTI Mattia | 74 |
102 | LINAREZ Leangel Rubén | 74 |
110 | PALINI Andrea | 67 |
113 | BENFATTO Marco | 71 |
118 | SÁNCHEZ Augusto | 72 |