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 = 4.3 * weight - 247
This means that on average for every extra kilogram weight a rider loses 4.3 positions in the result.
Perez Cuapio
3
58 kgRojas
4
58 kgGuamá
10
61 kgRodas
25
68 kgGálviz
38
65 kgRagonessi
64
67 kg
3
58 kgRojas
4
58 kgGuamá
10
61 kgRodas
25
68 kgGálviz
38
65 kgRagonessi
64
67 kg
Weight (KG) →
Result →
68
58
3
64
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PEREZ CUAPIO Julio Alberto | 58 |
| 4 | ROJAS Juan Carlos | 58 |
| 10 | GUAMÁ Byron | 61 |
| 25 | RODAS Manuel | 68 |
| 38 | GÁLVIZ Carlos Johan | 65 |
| 64 | RAGONESSI José | 67 |