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 = 1.3 * weight - 68
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Soliz
1
58 kgGuamá
4
61 kgGonzález
7
55 kgSepulveda
14
66 kgGálviz
21
65 kg
1
58 kgGuamá
4
61 kgGonzález
7
55 kgSepulveda
14
66 kgGálviz
21
65 kg
Weight (KG) →
Result →
66
55
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOLIZ Óscar | 58 |
| 4 | GUAMÁ Byron | 61 |
| 7 | GONZÁLEZ Freddy Excelino | 55 |
| 14 | SEPULVEDA Luis Fernando | 66 |
| 21 | GÁLVIZ Carlos Johan | 65 |