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 = 2.8 * weight - 162
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
Rojas
1
58 kgChalapud
4
63 kgGuamá
6
61 kgContreras
22
64 kgRodas
27
68 kg
1
58 kgChalapud
4
63 kgGuamá
6
61 kgContreras
22
64 kgRodas
27
68 kg
Weight (KG) →
Result →
68
58
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROJAS Juan Carlos | 58 |
| 4 | CHALAPUD Robinson | 63 |
| 6 | GUAMÁ Byron | 61 |
| 22 | CONTRERAS Mario Wilfredo | 64 |
| 27 | RODAS Manuel | 68 |