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 = 3.1 * weight - 144
This means that on average for every extra kilogram weight a rider loses 3.1 positions in the result.
Chacón
3
63 kgRodas
47
68 kgChalapud
56
63 kgGuamá
64
61 kgOchoa
69
62 kgPérez
86
68 kgSánchez
87
72 kg
3
63 kgRodas
47
68 kgChalapud
56
63 kgGuamá
64
61 kgOchoa
69
62 kgPérez
86
68 kgSánchez
87
72 kg
Weight (KG) →
Result →
72
61
3
87
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | CHACÓN José Isidro | 63 |
| 47 | RODAS Manuel | 68 |
| 56 | CHALAPUD Robinson | 63 |
| 64 | GUAMÁ Byron | 61 |
| 69 | OCHOA Carlos José | 62 |
| 86 | PÉREZ Pedro Pablo | 68 |
| 87 | SÁNCHEZ Augusto | 72 |