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 = 1.1 * weight - 51
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Guamá
3
61 kgCepeda
5
61 kgRodas
9
68 kgNobel
43
78 kgKoontz
48
80 kgVelasco
50
58 kg
3
61 kgCepeda
5
61 kgRodas
9
68 kgNobel
43
78 kgKoontz
48
80 kgVelasco
50
58 kg
Weight (KG) →
Result →
80
58
3
50
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GUAMÁ Byron | 61 |
| 5 | CEPEDA Jefferson Alveiro | 61 |
| 9 | RODAS Manuel | 68 |
| 43 | NOBEL Rick | 78 |
| 48 | KOONTZ Grant | 80 |
| 50 | VELASCO Henry | 58 |