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 = 3.9 * weight - 220
This means that on average for every extra kilogram weight a rider loses 3.9 positions in the result.
Guamá
1
61 kgRojas
11
58 kgChalapud
27
63 kgRodas
40
68 kgContreras
46
64 kg
1
61 kgRojas
11
58 kgChalapud
27
63 kgRodas
40
68 kgContreras
46
64 kg
Weight (KG) →
Result →
68
58
1
46
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUAMÁ Byron | 61 |
| 11 | ROJAS Juan Carlos | 58 |
| 27 | CHALAPUD Robinson | 63 |
| 40 | RODAS Manuel | 68 |
| 46 | CONTRERAS Mario Wilfredo | 64 |