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 = -0.6 * weight + 59
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Jurado
1
68 kgGuamá
3
61 kgChumil
8
62 kgPrado
11
65 kgOrdoñez
26
67 kgLópez
42
55 kgRodas
47
68 kg
1
68 kgGuamá
3
61 kgChumil
8
62 kgPrado
11
65 kgOrdoñez
26
67 kgLópez
42
55 kgRodas
47
68 kg
Weight (KG) →
Result →
68
55
1
47
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JURADO Christofer Robín | 68 |
| 3 | GUAMÁ Byron | 61 |
| 8 | CHUMIL Sergio Geovani | 62 |
| 11 | PRADO Ignacio de Jesús | 65 |
| 26 | ORDOÑEZ Santiago | 67 |
| 42 | LÓPEZ Harold Martín | 55 |
| 47 | RODAS Manuel | 68 |