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 = -0.8 * weight + 60
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Gálviz
5
65 kgSepulveda
7
66 kgRagonessi
9
67 kgGonzález
13
55 kgSoliz
17
58 kgGuamá
19
61 kg
5
65 kgSepulveda
7
66 kgRagonessi
9
67 kgGonzález
13
55 kgSoliz
17
58 kgGuamá
19
61 kg
Weight (KG) →
Result →
67
55
5
19
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | GÁLVIZ Carlos Johan | 65 |
| 7 | SEPULVEDA Luis Fernando | 66 |
| 9 | RAGONESSI José | 67 |
| 13 | GONZÁLEZ Freddy Excelino | 55 |
| 17 | SOLIZ Óscar | 58 |
| 19 | GUAMÁ Byron | 61 |