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 = 0.1 * weight + 26
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Guamá
13
61 kgRodas
21
68 kgCepeda
32
61 kgKoontz
37
80 kgNobel
47
78 kgVelasco
61
58 kg
13
61 kgRodas
21
68 kgCepeda
32
61 kgKoontz
37
80 kgNobel
47
78 kgVelasco
61
58 kg
Weight (KG) →
Result →
80
58
13
61
| # | Rider | Weight (KG) |
|---|---|---|
| 13 | GUAMÁ Byron | 61 |
| 21 | RODAS Manuel | 68 |
| 32 | CEPEDA Jefferson Alveiro | 61 |
| 37 | KOONTZ Grant | 80 |
| 47 | NOBEL Rick | 78 |
| 61 | VELASCO Henry | 58 |