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 = 2.3 * weight - 120
This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
Guamá
3
61 kgLópez
5
55 kgOrdoñez
6
67 kgChumil
10
62 kgJurado
20
68 kgRodas
22
68 kgPrado
68
65 kgCastaño
69
66 kg
3
61 kgLópez
5
55 kgOrdoñez
6
67 kgChumil
10
62 kgJurado
20
68 kgRodas
22
68 kgPrado
68
65 kgCastaño
69
66 kg
Weight (KG) →
Result →
68
55
3
69
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GUAMÁ Byron | 61 |
| 5 | LÓPEZ Harold Martín | 55 |
| 6 | ORDOÑEZ Santiago | 67 |
| 10 | CHUMIL Sergio Geovani | 62 |
| 20 | JURADO Christofer Robín | 68 |
| 22 | RODAS Manuel | 68 |
| 68 | PRADO Ignacio de Jesús | 65 |
| 69 | CASTAÑO Erick | 66 |