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 = 0.9 * weight - 41
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Ordoñez
2
67 kgGuamá
3
61 kgChumil
7
62 kgLópez
8
55 kgJurado
13
68 kgRodas
19
68 kgPrado
49
65 kg
2
67 kgGuamá
3
61 kgChumil
7
62 kgLópez
8
55 kgJurado
13
68 kgRodas
19
68 kgPrado
49
65 kg
Weight (KG) →
Result →
68
55
2
49
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ORDOÑEZ Santiago | 67 |
| 3 | GUAMÁ Byron | 61 |
| 7 | CHUMIL Sergio Geovani | 62 |
| 8 | LÓPEZ Harold Martín | 55 |
| 13 | JURADO Christofer Robín | 68 |
| 19 | RODAS Manuel | 68 |
| 49 | PRADO Ignacio de Jesús | 65 |