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 = 0.8 * weight - 33
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Jurado
3
68 kgGuamá
4
61 kgLópez
10
55 kgOrdoñez
11
67 kgChumil
18
62 kgRodas
22
68 kgPrado
33
65 kgCastaño
42
66 kg
3
68 kgGuamá
4
61 kgLópez
10
55 kgOrdoñez
11
67 kgChumil
18
62 kgRodas
22
68 kgPrado
33
65 kgCastaño
42
66 kg
Weight (KG) →
Result →
68
55
3
42
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | JURADO Christofer Robín | 68 |
| 4 | GUAMÁ Byron | 61 |
| 10 | LÓPEZ Harold Martín | 55 |
| 11 | ORDOÑEZ Santiago | 67 |
| 18 | CHUMIL Sergio Geovani | 62 |
| 22 | RODAS Manuel | 68 |
| 33 | PRADO Ignacio de Jesús | 65 |
| 42 | CASTAÑO Erick | 66 |