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 = 2.6 * weight - 142
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
Guamá
2
61 kgRojas
5
58 kgRodas
10
68 kgPerez Cuapio
14
58 kgGálviz
34
65 kgRagonessi
54
67 kg
2
61 kgRojas
5
58 kgRodas
10
68 kgPerez Cuapio
14
58 kgGálviz
34
65 kgRagonessi
54
67 kg
Weight (KG) →
Result →
68
58
2
54
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GUAMÁ Byron | 61 |
| 5 | ROJAS Juan Carlos | 58 |
| 10 | RODAS Manuel | 68 |
| 14 | PEREZ CUAPIO Julio Alberto | 58 |
| 34 | GÁLVIZ Carlos Johan | 65 |
| 54 | RAGONESSI José | 67 |