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 = 0.1 * weight + 29
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Sánchez
2
72 kgGuamá
7
61 kgPantoja
27
59 kgCastaño
35
66 kgRagonessi
44
67 kgAlzate
63
74 kgCruz
65
59 kg
2
72 kgGuamá
7
61 kgPantoja
27
59 kgCastaño
35
66 kgRagonessi
44
67 kgAlzate
63
74 kgCruz
65
59 kg
Weight (KG) →
Result →
74
59
2
65
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SÁNCHEZ Augusto | 72 |
| 7 | GUAMÁ Byron | 61 |
| 27 | PANTOJA Darwin Ferney | 59 |
| 35 | CASTAÑO Erick | 66 |
| 44 | RAGONESSI José | 67 |
| 63 | ALZATE Carlos | 74 |
| 65 | CRUZ Adderlyn Félix | 59 |