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.
Guamá
11
61 kgSoliz
17
58 kgGálviz
20
65 kgGonzález
24
55 kgRagonessi
30
67 kgSepulveda
50
66 kg
11
61 kgSoliz
17
58 kgGálviz
20
65 kgGonzález
24
55 kgRagonessi
30
67 kgSepulveda
50
66 kg
Weight (KG) →
Result →
67
55
11
50
| # | Rider | Weight (KG) |
|---|---|---|
| 11 | GUAMÁ Byron | 61 |
| 17 | SOLIZ Óscar | 58 |
| 20 | GÁLVIZ Carlos Johan | 65 |
| 24 | GONZÁLEZ Freddy Excelino | 55 |
| 30 | RAGONESSI José | 67 |
| 50 | SEPULVEDA Luis Fernando | 66 |