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 = 1.7 * weight - 68
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Chacón
1
63 kgUbeto
16
60 kgGálviz
31
65 kgRojas
35
58 kgGil Martinez
41
60 kgCruz
71
59 kgSánchez
73
72 kg
1
63 kgUbeto
16
60 kgGálviz
31
65 kgRojas
35
58 kgGil Martinez
41
60 kgCruz
71
59 kgSánchez
73
72 kg
Weight (KG) →
Result →
72
58
1
73
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHACÓN José Isidro | 63 |
| 16 | UBETO Miguel Armando | 60 |
| 31 | GÁLVIZ Carlos Johan | 65 |
| 35 | ROJAS Juan Carlos | 58 |
| 41 | GIL MARTINEZ Tomas Aurelio | 60 |
| 71 | CRUZ Adderlyn Félix | 59 |
| 73 | SÁNCHEZ Augusto | 72 |