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 = -0.1 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Rodas
1
68 kgGuamá
3
61 kgJurado
5
68 kgOrdoñez
7
67 kgChumil
9
62 kgLópez
13
55 kgPrado
60
65 kg
1
68 kgGuamá
3
61 kgJurado
5
68 kgOrdoñez
7
67 kgChumil
9
62 kgLópez
13
55 kgPrado
60
65 kg
Weight (KG) →
Result →
68
55
1
60
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RODAS Manuel | 68 |
| 3 | GUAMÁ Byron | 61 |
| 5 | JURADO Christofer Robín | 68 |
| 7 | ORDOÑEZ Santiago | 67 |
| 9 | CHUMIL Sergio Geovani | 62 |
| 13 | LÓPEZ Harold Martín | 55 |
| 60 | PRADO Ignacio de Jesús | 65 |