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 * weight - 40
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Rojas
2
58 kgGuamá
4
61 kgRodas
5
68 kgPerez Cuapio
44
58 kgGálviz
47
65 kgRagonessi
49
67 kg
2
58 kgGuamá
4
61 kgRodas
5
68 kgPerez Cuapio
44
58 kgGálviz
47
65 kgRagonessi
49
67 kg
Weight (KG) →
Result →
68
58
2
49
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROJAS Juan Carlos | 58 |
| 4 | GUAMÁ Byron | 61 |
| 5 | RODAS Manuel | 68 |
| 44 | PEREZ CUAPIO Julio Alberto | 58 |
| 47 | GÁLVIZ Carlos Johan | 65 |
| 49 | RAGONESSI José | 67 |