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 = 1.4 * weight - 62
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Rojas
1
58 kgGuamá
2
61 kgRodas
7
68 kgGálviz
40
65 kgPerez Cuapio
46
58 kgRagonessi
59
67 kg
1
58 kgGuamá
2
61 kgRodas
7
68 kgGálviz
40
65 kgPerez Cuapio
46
58 kgRagonessi
59
67 kg
Weight (KG) →
Result →
68
58
1
59
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROJAS Juan Carlos | 58 |
| 2 | GUAMÁ Byron | 61 |
| 7 | RODAS Manuel | 68 |
| 40 | GÁLVIZ Carlos Johan | 65 |
| 46 | PEREZ CUAPIO Julio Alberto | 58 |
| 59 | RAGONESSI José | 67 |