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 = 2.2 * weight - 114
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
Guamá
3
61 kgGonzález
4
55 kgGálviz
23
65 kgSoliz
29
58 kgRagonessi
36
67 kgSepulveda
38
66 kg
3
61 kgGonzález
4
55 kgGálviz
23
65 kgSoliz
29
58 kgRagonessi
36
67 kgSepulveda
38
66 kg
Weight (KG) →
Result →
67
55
3
38
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GUAMÁ Byron | 61 |
| 4 | GONZÁLEZ Freddy Excelino | 55 |
| 23 | GÁLVIZ Carlos Johan | 65 |
| 29 | SOLIZ Óscar | 58 |
| 36 | RAGONESSI José | 67 |
| 38 | SEPULVEDA Luis Fernando | 66 |