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 = -2.2 * weight + 153
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
Sevilla
1
62 kgGuamá
5
61 kgGálviz
8
65 kgSchunk
19
65 kgNarváez
30
56 kgReyes
35
55 kgDuarte
42
55 kgChalapud
43
63 kg
1
62 kgGuamá
5
61 kgGálviz
8
65 kgSchunk
19
65 kgNarváez
30
56 kgReyes
35
55 kgDuarte
42
55 kgChalapud
43
63 kg
Weight (KG) →
Result →
65
55
1
43
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEVILLA Óscar | 62 |
| 5 | GUAMÁ Byron | 61 |
| 8 | GÁLVIZ Carlos Johan | 65 |
| 19 | SCHUNK Conor | 65 |
| 30 | NARVÁEZ Alexis David | 56 |
| 35 | REYES Aldemar | 55 |
| 42 | DUARTE Fabio | 55 |
| 43 | CHALAPUD Robinson | 63 |