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 = 2.1 * weight - 100
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
Chacón
4
63 kgGálviz
9
65 kgGuamá
26
61 kgKlimov
34
69 kgGil Martinez
37
60 kgUbeto
42
60 kgCastillo
69
72 kg
4
63 kgGálviz
9
65 kgGuamá
26
61 kgKlimov
34
69 kgGil Martinez
37
60 kgUbeto
42
60 kgCastillo
69
72 kg
Weight (KG) →
Result →
72
60
4
69
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | CHACÓN José Isidro | 63 |
| 9 | GÁLVIZ Carlos Johan | 65 |
| 26 | GUAMÁ Byron | 61 |
| 34 | KLIMOV Sergey | 69 |
| 37 | GIL MARTINEZ Tomas Aurelio | 60 |
| 42 | UBETO Miguel Armando | 60 |
| 69 | CASTILLO Ulises Alfredo | 72 |