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 = -2.8 * weight + 196
This means that on average for every extra kilogram weight a rider loses -2.8 positions in the result.
Guamá
6
61 kgSevilla
7
62 kgGálviz
11
65 kgChalapud
14
63 kgNarváez
26
56 kgReyes
52
55 kgSchunk
56
65 kgDuarte
66
55 kg
6
61 kgSevilla
7
62 kgGálviz
11
65 kgChalapud
14
63 kgNarváez
26
56 kgReyes
52
55 kgSchunk
56
65 kgDuarte
66
55 kg
Weight (KG) →
Result →
65
55
6
66
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | GUAMÁ Byron | 61 |
| 7 | SEVILLA Óscar | 62 |
| 11 | GÁLVIZ Carlos Johan | 65 |
| 14 | CHALAPUD Robinson | 63 |
| 26 | NARVÁEZ Alexis David | 56 |
| 52 | REYES Aldemar | 55 |
| 56 | SCHUNK Conor | 65 |
| 66 | DUARTE Fabio | 55 |