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 = 1.6 * weight - 87
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Guamá
1
61 kgLópez
6
55 kgRodas
16
68 kgOrdoñez
25
67 kgJurado
26
68 kgPrado
29
65 kg
1
61 kgLópez
6
55 kgRodas
16
68 kgOrdoñez
25
67 kgJurado
26
68 kgPrado
29
65 kg
Weight (KG) →
Result →
68
55
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUAMÁ Byron | 61 |
| 6 | LÓPEZ Harold Martín | 55 |
| 16 | RODAS Manuel | 68 |
| 25 | ORDOÑEZ Santiago | 67 |
| 26 | JURADO Christofer Robín | 68 |
| 29 | PRADO Ignacio de Jesús | 65 |