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 = 3.8 * weight - 212
This means that on average for every extra kilogram weight a rider loses 3.8 positions in the result.
Guamá
9
61 kgRojas
13
58 kgChalapud
31
63 kgContreras
35
64 kgRodas
46
68 kg
9
61 kgRojas
13
58 kgChalapud
31
63 kgContreras
35
64 kgRodas
46
68 kg
Weight (KG) →
Result →
68
58
9
46
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | GUAMÁ Byron | 61 |
| 13 | ROJAS Juan Carlos | 58 |
| 31 | CHALAPUD Robinson | 63 |
| 35 | CONTRERAS Mario Wilfredo | 64 |
| 46 | RODAS Manuel | 68 |