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 = 1.3 * weight - 48
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Gálviz
6
65 kgChacón
9
63 kgGuamá
20
61 kgGil Martinez
39
60 kgCastillo
65
72 kgUbeto
67
60 kg
6
65 kgChacón
9
63 kgGuamá
20
61 kgGil Martinez
39
60 kgCastillo
65
72 kgUbeto
67
60 kg
Weight (KG) →
Result →
72
60
6
67
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | GÁLVIZ Carlos Johan | 65 |
| 9 | CHACÓN José Isidro | 63 |
| 20 | GUAMÁ Byron | 61 |
| 39 | GIL MARTINEZ Tomas Aurelio | 60 |
| 65 | CASTILLO Ulises Alfredo | 72 |
| 67 | UBETO Miguel Armando | 60 |