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 = 1.4 * weight - 67
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Chumil
3
62 kgJurado
4
68 kgGuamá
10
61 kgLópez
13
55 kgRodas
17
68 kgOrdoñez
28
67 kgCastaño
60
66 kgPrado
66
65 kg
3
62 kgJurado
4
68 kgGuamá
10
61 kgLópez
13
55 kgRodas
17
68 kgOrdoñez
28
67 kgCastaño
60
66 kgPrado
66
65 kg
Weight (KG) →
Result →
68
55
3
66
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | CHUMIL Sergio Geovani | 62 |
| 4 | JURADO Christofer Robín | 68 |
| 10 | GUAMÁ Byron | 61 |
| 13 | LÓPEZ Harold Martín | 55 |
| 17 | RODAS Manuel | 68 |
| 28 | ORDOÑEZ Santiago | 67 |
| 60 | CASTAÑO Erick | 66 |
| 66 | PRADO Ignacio de Jesús | 65 |