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 = 2.8 * weight - 160
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
Guamá
2
61 kgRojas
4
58 kgPerez Cuapio
13
58 kgGálviz
14
65 kgRodas
35
68 kgRagonessi
37
67 kg
2
61 kgRojas
4
58 kgPerez Cuapio
13
58 kgGálviz
14
65 kgRodas
35
68 kgRagonessi
37
67 kg
Weight (KG) →
Result →
68
58
2
37
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GUAMÁ Byron | 61 |
| 4 | ROJAS Juan Carlos | 58 |
| 13 | PEREZ CUAPIO Julio Alberto | 58 |
| 14 | GÁLVIZ Carlos Johan | 65 |
| 35 | RODAS Manuel | 68 |
| 37 | RAGONESSI José | 67 |