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 = 2.1 * weight - 113
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
Godoy
1
64 kgAlba
6
59 kgGuamá
27
61 kgRestrepo
40
73 kgGálviz
41
65 kg
1
64 kgAlba
6
59 kgGuamá
27
61 kgRestrepo
40
73 kgGálviz
41
65 kg
Weight (KG) →
Result →
73
59
1
41
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GODOY Yonder | 64 |
| 6 | ALBA Juan Diego | 59 |
| 27 | GUAMÁ Byron | 61 |
| 40 | RESTREPO Jhonatan | 73 |
| 41 | GÁLVIZ Carlos Johan | 65 |