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 = -0.6 * weight + 65
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Godoy
1
64 kgAlba
5
59 kgRestrepo
21
73 kgGuevara
33
68 kgGálviz
34
65 kgViloria
40
64 kgRuiz
42
57 kgMerchan
43
57 kg
1
64 kgAlba
5
59 kgRestrepo
21
73 kgGuevara
33
68 kgGálviz
34
65 kgViloria
40
64 kgRuiz
42
57 kgMerchan
43
57 kg
Weight (KG) →
Result →
73
57
1
43
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GODOY Yonder | 64 |
| 5 | ALBA Juan Diego | 59 |
| 21 | RESTREPO Jhonatan | 73 |
| 33 | GUEVARA Gregory | 68 |
| 34 | GÁLVIZ Carlos Johan | 65 |
| 40 | VILORIA Enmanuel David | 64 |
| 42 | RUIZ Jeferson Armando | 57 |
| 43 | MERCHAN Didier | 57 |