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 = -1.4 * weight + 111
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Jurado
1
68 kgOrdoñez
2
67 kgRodas
3
68 kgGuamá
21
61 kgChumil
28
62 kgLópez
29
55 kgPrado
39
65 kgCastaño
63
66 kg
1
68 kgOrdoñez
2
67 kgRodas
3
68 kgGuamá
21
61 kgChumil
28
62 kgLópez
29
55 kgPrado
39
65 kgCastaño
63
66 kg
Weight (KG) →
Result →
68
55
1
63
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JURADO Christofer Robín | 68 |
| 2 | ORDOÑEZ Santiago | 67 |
| 3 | RODAS Manuel | 68 |
| 21 | GUAMÁ Byron | 61 |
| 28 | CHUMIL Sergio Geovani | 62 |
| 29 | LÓPEZ Harold Martín | 55 |
| 39 | PRADO Ignacio de Jesús | 65 |
| 63 | CASTAÑO Erick | 66 |