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 = 2.1 * weight - 120
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
Guamá
1
61 kgPerez Cuapio
5
58 kgRojas
7
58 kgRodas
15
68 kgGálviz
22
65 kgRagonessi
35
67 kg
1
61 kgPerez Cuapio
5
58 kgRojas
7
58 kgRodas
15
68 kgGálviz
22
65 kgRagonessi
35
67 kg
Weight (KG) →
Result →
68
58
1
35
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUAMÁ Byron | 61 |
| 5 | PEREZ CUAPIO Julio Alberto | 58 |
| 7 | ROJAS Juan Carlos | 58 |
| 15 | RODAS Manuel | 68 |
| 22 | GÁLVIZ Carlos Johan | 65 |
| 35 | RAGONESSI José | 67 |