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 = 2.3 * weight - 129
This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
Guamá
1
61 kgRojas
4
58 kgRodas
7
68 kgPerez Cuapio
12
58 kgGálviz
28
65 kgRagonessi
51
67 kg
1
61 kgRojas
4
58 kgRodas
7
68 kgPerez Cuapio
12
58 kgGálviz
28
65 kgRagonessi
51
67 kg
Weight (KG) →
Result →
68
58
1
51
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUAMÁ Byron | 61 |
| 4 | ROJAS Juan Carlos | 58 |
| 7 | RODAS Manuel | 68 |
| 12 | PEREZ CUAPIO Julio Alberto | 58 |
| 28 | GÁLVIZ Carlos Johan | 65 |
| 51 | RAGONESSI José | 67 |