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 = 2.3 * weight - 117
This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
Guamá
1
61 kgPantoja
3
59 kgCastaño
4
66 kgRagonessi
27
67 kgAlzate
51
74 kgCruz
60
59 kgSánchez
65
72 kg
1
61 kgPantoja
3
59 kgCastaño
4
66 kgRagonessi
27
67 kgAlzate
51
74 kgCruz
60
59 kgSánchez
65
72 kg
Weight (KG) →
Result →
74
59
1
65
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUAMÁ Byron | 61 |
| 3 | PANTOJA Darwin Ferney | 59 |
| 4 | CASTAÑO Erick | 66 |
| 27 | RAGONESSI José | 67 |
| 51 | ALZATE Carlos | 74 |
| 60 | CRUZ Adderlyn Félix | 59 |
| 65 | SÁNCHEZ Augusto | 72 |