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 = 2.6 * weight - 143
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
López
3
55 kgChumil
5
62 kgOrdoñez
6
67 kgGuamá
11
61 kgJurado
19
68 kgPrado
42
65 kgRodas
43
68 kgCastaño
64
66 kg
3
55 kgChumil
5
62 kgOrdoñez
6
67 kgGuamá
11
61 kgJurado
19
68 kgPrado
42
65 kgRodas
43
68 kgCastaño
64
66 kg
Weight (KG) →
Result →
68
55
3
64
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | LÓPEZ Harold Martín | 55 |
| 5 | CHUMIL Sergio Geovani | 62 |
| 6 | ORDOÑEZ Santiago | 67 |
| 11 | GUAMÁ Byron | 61 |
| 19 | JURADO Christofer Robín | 68 |
| 42 | PRADO Ignacio de Jesús | 65 |
| 43 | RODAS Manuel | 68 |
| 64 | CASTAÑO Erick | 66 |