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 = 0.4 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Guamá
2
61 kgLópez
3
55 kgOrdoñez
4
67 kgJurado
6
68 kgChumil
10
62 kgRodas
13
68 kg
2
61 kgLópez
3
55 kgOrdoñez
4
67 kgJurado
6
68 kgChumil
10
62 kgRodas
13
68 kg
Weight (KG) →
Result →
68
55
2
13
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GUAMÁ Byron | 61 |
| 3 | LÓPEZ Harold Martín | 55 |
| 4 | ORDOÑEZ Santiago | 67 |
| 6 | JURADO Christofer Robín | 68 |
| 10 | CHUMIL Sergio Geovani | 62 |
| 13 | RODAS Manuel | 68 |