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 = -0.1 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Ordoñez
4
67 kgGuamá
6
61 kgJurado
7
68 kgChumil
10
62 kgRodas
22
68 kgLópez
31
55 kgPrado
56
65 kgCastaño
57
66 kg
4
67 kgGuamá
6
61 kgJurado
7
68 kgChumil
10
62 kgRodas
22
68 kgLópez
31
55 kgPrado
56
65 kgCastaño
57
66 kg
Weight (KG) →
Result →
68
55
4
57
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ORDOÑEZ Santiago | 67 |
| 6 | GUAMÁ Byron | 61 |
| 7 | JURADO Christofer Robín | 68 |
| 10 | CHUMIL Sergio Geovani | 62 |
| 22 | RODAS Manuel | 68 |
| 31 | LÓPEZ Harold Martín | 55 |
| 56 | PRADO Ignacio de Jesús | 65 |
| 57 | CASTAÑO Erick | 66 |