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 + 5
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Gutiérrez
1
78 kgSevilla
1
62 kgHenao
1
61 kgAcevedo
1
63 kgCárdenas
3
59 kgChaparro
3
54 kgPérez
3
68 kg
1
78 kgSevilla
1
62 kgHenao
1
61 kgAcevedo
1
63 kgCárdenas
3
59 kgChaparro
3
54 kgPérez
3
68 kg
Weight (KG) →
Result →
78
54
1
3
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUTIÉRREZ José Enrique | 78 |
| 1 | SEVILLA Óscar | 62 |
| 1 | HENAO Sergio | 61 |
| 1 | ACEVEDO Janier | 63 |
| 3 | CÁRDENAS Félix Rafael | 59 |
| 3 | CHAPARRO Didier | 54 |
| 3 | PÉREZ Marlon Alirio | 68 |