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 - 115
This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
Guamá
11
61 kgRojas
13
58 kgRodas
21
68 kgPerez Cuapio
22
58 kgGálviz
40
65 kgRagonessi
52
67 kg
11
61 kgRojas
13
58 kgRodas
21
68 kgPerez Cuapio
22
58 kgGálviz
40
65 kgRagonessi
52
67 kg
Weight (KG) →
Result →
68
58
11
52
| # | Rider | Weight (KG) |
|---|---|---|
| 11 | GUAMÁ Byron | 61 |
| 13 | ROJAS Juan Carlos | 58 |
| 21 | RODAS Manuel | 68 |
| 22 | PEREZ CUAPIO Julio Alberto | 58 |
| 40 | GÁLVIZ Carlos Johan | 65 |
| 52 | RAGONESSI José | 67 |