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 = -0.5 * weight + 45
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
López
1
59 kgSoto
6
66 kgGomez
10
64 kgFlórez
11
57 kgGuamá
18
61 kgRuiz
19
57 kgPantano
25
61 kg
1
59 kgSoto
6
66 kgGomez
10
64 kgFlórez
11
57 kgGuamá
18
61 kgRuiz
19
57 kgPantano
25
61 kg
Weight (KG) →
Result →
66
57
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LÓPEZ Miguel Ángel | 59 |
| 6 | SOTO Nelson Andrés | 66 |
| 10 | GOMEZ Nicolas David | 64 |
| 11 | FLÓREZ Miguel Eduardo | 57 |
| 18 | GUAMÁ Byron | 61 |
| 19 | RUIZ Jeferson Armando | 57 |
| 25 | PANTANO Jarlinson | 61 |