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 = -1.9 * weight + 132
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
Sevilla
2
62 kgGuamá
4
61 kgGálviz
14
65 kgChalapud
23
63 kgNarváez
32
56 kg
2
62 kgGuamá
4
61 kgGálviz
14
65 kgChalapud
23
63 kgNarváez
32
56 kg
Weight (KG) →
Result →
65
56
2
32
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SEVILLA Óscar | 62 |
| 4 | GUAMÁ Byron | 61 |
| 14 | GÁLVIZ Carlos Johan | 65 |
| 23 | CHALAPUD Robinson | 63 |
| 32 | NARVÁEZ Alexis David | 56 |