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 + 95
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Sepulveda
1
66 kgSoliz
7
58 kgGuamá
11
61 kgGálviz
12
65 kgGonzález
25
55 kg
1
66 kgSoliz
7
58 kgGuamá
11
61 kgGálviz
12
65 kgGonzález
25
55 kg
Weight (KG) →
Result →
66
55
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEPULVEDA Luis Fernando | 66 |
| 7 | SOLIZ Óscar | 58 |
| 11 | GUAMÁ Byron | 61 |
| 12 | GÁLVIZ Carlos Johan | 65 |
| 25 | GONZÁLEZ Freddy Excelino | 55 |