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 = 7.6 * weight - 454
This means that on average for every extra kilogram weight a rider loses 7.6 positions in the result.
Ochoa
6
62 kgGuamá
11
61 kgChacón
24
63 kgChalapud
27
63 kgRodas
45
68 kgPérez
85
68 kgSánchez
87
72 kg
6
62 kgGuamá
11
61 kgChacón
24
63 kgChalapud
27
63 kgRodas
45
68 kgPérez
85
68 kgSánchez
87
72 kg
Weight (KG) →
Result →
72
61
6
87
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | OCHOA Carlos José | 62 |
| 11 | GUAMÁ Byron | 61 |
| 24 | CHACÓN José Isidro | 63 |
| 27 | CHALAPUD Robinson | 63 |
| 45 | RODAS Manuel | 68 |
| 85 | PÉREZ Pedro Pablo | 68 |
| 87 | SÁNCHEZ Augusto | 72 |