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 = 3.3 * weight - 175
This means that on average for every extra kilogram weight a rider loses 3.3 positions in the result.
Guamá
6
61 kgPantoja
21
59 kgCastaño
31
66 kgCruz
41
59 kgRagonessi
44
67 kgSánchez
62
72 kgAlzate
77
74 kg
6
61 kgPantoja
21
59 kgCastaño
31
66 kgCruz
41
59 kgRagonessi
44
67 kgSánchez
62
72 kgAlzate
77
74 kg
Weight (KG) →
Result →
74
59
6
77
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | GUAMÁ Byron | 61 |
| 21 | PANTOJA Darwin Ferney | 59 |
| 31 | CASTAÑO Erick | 66 |
| 41 | CRUZ Adderlyn Félix | 59 |
| 44 | RAGONESSI José | 67 |
| 62 | SÁNCHEZ Augusto | 72 |
| 77 | ALZATE Carlos | 74 |