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 = 0.8 * weight - 33
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Guamá
3
61 kgReyes
5
55 kgSevilla
8
62 kgChalapud
11
63 kgNarváez
16
56 kgGálviz
21
65 kgDuarte
26
55 kgSchunk
40
65 kg
3
61 kgReyes
5
55 kgSevilla
8
62 kgChalapud
11
63 kgNarváez
16
56 kgGálviz
21
65 kgDuarte
26
55 kgSchunk
40
65 kg
Weight (KG) →
Result →
65
55
3
40
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GUAMÁ Byron | 61 |
| 5 | REYES Aldemar | 55 |
| 8 | SEVILLA Óscar | 62 |
| 11 | CHALAPUD Robinson | 63 |
| 16 | NARVÁEZ Alexis David | 56 |
| 21 | GÁLVIZ Carlos Johan | 65 |
| 26 | DUARTE Fabio | 55 |
| 40 | SCHUNK Conor | 65 |