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 = 2.7 * weight - 150
This means that on average for every extra kilogram weight a rider loses 2.7 positions in the result.
López
1
55 kgGuamá
2
61 kgOrdoñez
4
67 kgChumil
17
62 kgRodas
31
68 kgJurado
32
68 kgPrado
35
65 kgCastaño
65
66 kg
1
55 kgGuamá
2
61 kgOrdoñez
4
67 kgChumil
17
62 kgRodas
31
68 kgJurado
32
68 kgPrado
35
65 kgCastaño
65
66 kg
Weight (KG) →
Result →
68
55
1
65
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LÓPEZ Harold Martín | 55 |
| 2 | GUAMÁ Byron | 61 |
| 4 | ORDOÑEZ Santiago | 67 |
| 17 | CHUMIL Sergio Geovani | 62 |
| 31 | RODAS Manuel | 68 |
| 32 | JURADO Christofer Robín | 68 |
| 35 | PRADO Ignacio de Jesús | 65 |
| 65 | CASTAÑO Erick | 66 |