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 = 10.3 * weight - 631
This means that on average for every extra kilogram weight a rider loses 10.3 positions in the result.
Chalapud
3
63 kgChacón
4
63 kgOchoa
5
62 kgGuamá
31
61 kgRodas
76
68 kgPérez
81
68 kg
3
63 kgChacón
4
63 kgOchoa
5
62 kgGuamá
31
61 kgRodas
76
68 kgPérez
81
68 kg
Weight (KG) →
Result →
68
61
3
81
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | CHALAPUD Robinson | 63 |
| 4 | CHACÓN José Isidro | 63 |
| 5 | OCHOA Carlos José | 62 |
| 31 | GUAMÁ Byron | 61 |
| 76 | RODAS Manuel | 68 |
| 81 | PÉREZ Pedro Pablo | 68 |