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 = -1.4 * weight + 111
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Sevilla
7
62 kgGuamá
8
61 kgChalapud
13
63 kgReyes
16
55 kgGálviz
25
65 kgSchunk
32
65 kgNarváez
34
56 kgDuarte
54
55 kg
7
62 kgGuamá
8
61 kgChalapud
13
63 kgReyes
16
55 kgGálviz
25
65 kgSchunk
32
65 kgNarváez
34
56 kgDuarte
54
55 kg
Weight (KG) →
Result →
65
55
7
54
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | SEVILLA Óscar | 62 |
| 8 | GUAMÁ Byron | 61 |
| 13 | CHALAPUD Robinson | 63 |
| 16 | REYES Aldemar | 55 |
| 25 | GÁLVIZ Carlos Johan | 65 |
| 32 | SCHUNK Conor | 65 |
| 34 | NARVÁEZ Alexis David | 56 |
| 54 | DUARTE Fabio | 55 |