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 = 1.2 * weight - 61
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Ochoa
4
62 kgChalapud
8
63 kgGuamá
9
61 kgRodas
16
68 kgChacón
24
63 kg
4
62 kgChalapud
8
63 kgGuamá
9
61 kgRodas
16
68 kgChacón
24
63 kg
Weight (KG) →
Result →
68
61
4
24
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | OCHOA Carlos José | 62 |
| 8 | CHALAPUD Robinson | 63 |
| 9 | GUAMÁ Byron | 61 |
| 16 | RODAS Manuel | 68 |
| 24 | CHACÓN José Isidro | 63 |