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 = 0.6 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Rodas
2
68 kgGuamá
5
61 kgCepeda
7
61 kgNobel
41
78 kgVelasco
45
58 kg
2
68 kgGuamá
5
61 kgCepeda
7
61 kgNobel
41
78 kgVelasco
45
58 kg
Weight (KG) →
Result →
78
58
2
45
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RODAS Manuel | 68 |
| 5 | GUAMÁ Byron | 61 |
| 7 | CEPEDA Jefferson Alveiro | 61 |
| 41 | NOBEL Rick | 78 |
| 45 | VELASCO Henry | 58 |