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 = -1.1 * weight + 83
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Rodas
1
68 kgGuamá
12
61 kgChalapud
13
63 kgRojas
15
58 kgContreras
20
64 kg
1
68 kgGuamá
12
61 kgChalapud
13
63 kgRojas
15
58 kgContreras
20
64 kg
Weight (KG) →
Result →
68
58
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RODAS Manuel | 68 |
| 12 | GUAMÁ Byron | 61 |
| 13 | CHALAPUD Robinson | 63 |
| 15 | ROJAS Juan Carlos | 58 |
| 20 | CONTRERAS Mario Wilfredo | 64 |