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 = 0.3 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Sevilla
3
62 kgGuamá
11
61 kgGálviz
21
65 kgGuevara
27
68 kgChalapud
32
63 kgNarváez
40
56 kgPita
46
67 kg
3
62 kgGuamá
11
61 kgGálviz
21
65 kgGuevara
27
68 kgChalapud
32
63 kgNarváez
40
56 kgPita
46
67 kg
Weight (KG) →
Result →
68
56
3
46
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SEVILLA Óscar | 62 |
| 11 | GUAMÁ Byron | 61 |
| 21 | GÁLVIZ Carlos Johan | 65 |
| 27 | GUEVARA Gregory | 68 |
| 32 | CHALAPUD Robinson | 63 |
| 40 | NARVÁEZ Alexis David | 56 |
| 46 | PITA Cristian David | 67 |