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 = -2.3 * weight + 163
This means that on average for every extra kilogram weight a rider loses -2.3 positions in the result.
Rodas
3
68 kgRojas
8
58 kgRagonessi
12
67 kgGálviz
18
65 kgGuamá
20
61 kgPerez Cuapio
53
58 kg
3
68 kgRojas
8
58 kgRagonessi
12
67 kgGálviz
18
65 kgGuamá
20
61 kgPerez Cuapio
53
58 kg
Weight (KG) →
Result →
68
58
3
53
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | RODAS Manuel | 68 |
| 8 | ROJAS Juan Carlos | 58 |
| 12 | RAGONESSI José | 67 |
| 18 | GÁLVIZ Carlos Johan | 65 |
| 20 | GUAMÁ Byron | 61 |
| 53 | PEREZ CUAPIO Julio Alberto | 58 |