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 = -0.1 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Ragonessi
2
67 kgGuamá
8
61 kgRojas
10
58 kgRodas
29
68 kgPerez Cuapio
53
58 kgGálviz
68
65 kg
2
67 kgGuamá
8
61 kgRojas
10
58 kgRodas
29
68 kgPerez Cuapio
53
58 kgGálviz
68
65 kg
Weight (KG) →
Result →
68
58
2
68
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RAGONESSI José | 67 |
| 8 | GUAMÁ Byron | 61 |
| 10 | ROJAS Juan Carlos | 58 |
| 29 | RODAS Manuel | 68 |
| 53 | PEREZ CUAPIO Julio Alberto | 58 |
| 68 | GÁLVIZ Carlos Johan | 65 |