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 = 0.2 * weight + 13
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Rodas
8
68 kgGuamá
9
61 kgCepeda
30
61 kgNobel
42
78 kgVelasco
47
58 kg
8
68 kgGuamá
9
61 kgCepeda
30
61 kgNobel
42
78 kgVelasco
47
58 kg
Weight (KG) →
Result →
78
58
8
47
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | RODAS Manuel | 68 |
| 9 | GUAMÁ Byron | 61 |
| 30 | CEPEDA Jefferson Alveiro | 61 |
| 42 | NOBEL Rick | 78 |
| 47 | VELASCO Henry | 58 |