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 = -0.6 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Gálviz
1
65 kgRodas
3
68 kgGaviria
4
71 kgRodríguez
8
58 kgCruz
11
59 kgPrado
15
65 kgArango
17
62 kg
1
65 kgRodas
3
68 kgGaviria
4
71 kgRodríguez
8
58 kgCruz
11
59 kgPrado
15
65 kgArango
17
62 kg
Weight (KG) →
Result →
71
58
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GÁLVIZ Carlos Johan | 65 |
| 3 | RODAS Manuel | 68 |
| 4 | GAVIRIA Fernando | 71 |
| 8 | RODRÍGUEZ Jackson | 58 |
| 11 | CRUZ Adderlyn Félix | 59 |
| 15 | PRADO Ignacio de Jesús | 65 |
| 17 | ARANGO Juan Esteban | 62 |