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 = 1.2 * weight - 26
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Chacón
14
63 kgRojas
32
58 kgUbeto
56
60 kgGil Martinez
57
60 kgCruz
63
59 kgSánchez
69
72 kg
14
63 kgRojas
32
58 kgUbeto
56
60 kgGil Martinez
57
60 kgCruz
63
59 kgSánchez
69
72 kg
Weight (KG) →
Result →
72
58
14
69
| # | Rider | Weight (KG) |
|---|---|---|
| 14 | CHACÓN José Isidro | 63 |
| 32 | ROJAS Juan Carlos | 58 |
| 56 | UBETO Miguel Armando | 60 |
| 57 | GIL MARTINEZ Tomas Aurelio | 60 |
| 63 | CRUZ Adderlyn Félix | 59 |
| 69 | SÁNCHEZ Augusto | 72 |