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 - 111
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
López
1
55 kgChumil
7
62 kgGuamá
10
61 kgJurado
17
68 kgOrdoñez
18
67 kgRodas
27
68 kgPrado
62
65 kg
1
55 kgChumil
7
62 kgGuamá
10
61 kgJurado
17
68 kgOrdoñez
18
67 kgRodas
27
68 kgPrado
62
65 kg
Weight (KG) →
Result →
68
55
1
62
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LÓPEZ Harold Martín | 55 |
| 7 | CHUMIL Sergio Geovani | 62 |
| 10 | GUAMÁ Byron | 61 |
| 17 | JURADO Christofer Robín | 68 |
| 18 | ORDOÑEZ Santiago | 67 |
| 27 | RODAS Manuel | 68 |
| 62 | PRADO Ignacio de Jesús | 65 |