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 = 0.5 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Guamá
1
61 kgJurado
2
68 kgLópez
4
55 kgOrdoñez
5
67 kgChumil
10
62 kgRodas
14
68 kgPrado
34
65 kg
1
61 kgJurado
2
68 kgLópez
4
55 kgOrdoñez
5
67 kgChumil
10
62 kgRodas
14
68 kgPrado
34
65 kg
Weight (KG) →
Result →
68
55
1
34
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUAMÁ Byron | 61 |
| 2 | JURADO Christofer Robín | 68 |
| 4 | LÓPEZ Harold Martín | 55 |
| 5 | ORDOÑEZ Santiago | 67 |
| 10 | CHUMIL Sergio Geovani | 62 |
| 14 | RODAS Manuel | 68 |
| 34 | PRADO Ignacio de Jesús | 65 |