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 = 2.7 * weight - 151
This means that on average for every extra kilogram weight a rider loses 2.7 positions in the result.
Rojas
9
58 kgGuamá
10
61 kgContreras
19
64 kgChalapud
20
63 kgRodas
35
68 kg
9
58 kgGuamá
10
61 kgContreras
19
64 kgChalapud
20
63 kgRodas
35
68 kg
Weight (KG) →
Result →
68
58
9
35
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | ROJAS Juan Carlos | 58 |
| 10 | GUAMÁ Byron | 61 |
| 19 | CONTRERAS Mario Wilfredo | 64 |
| 20 | CHALAPUD Robinson | 63 |
| 35 | RODAS Manuel | 68 |