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 = 3.2 * weight - 190
This means that on average for every extra kilogram weight a rider loses 3.2 positions in the result.
Rojas
1
58 kgChalapud
2
63 kgGuamá
5
61 kgContreras
19
64 kgRodas
32
68 kg
1
58 kgChalapud
2
63 kgGuamá
5
61 kgContreras
19
64 kgRodas
32
68 kg
Weight (KG) →
Result →
68
58
1
32
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROJAS Juan Carlos | 58 |
| 2 | CHALAPUD Robinson | 63 |
| 5 | GUAMÁ Byron | 61 |
| 19 | CONTRERAS Mario Wilfredo | 64 |
| 32 | RODAS Manuel | 68 |