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 = 1.6 * weight - 95
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Cepeda
2
61 kgRodas
6
68 kgGuamá
7
61 kgVelasco
9
58 kgKoontz
38
80 kgNobel
39
78 kg
2
61 kgRodas
6
68 kgGuamá
7
61 kgVelasco
9
58 kgKoontz
38
80 kgNobel
39
78 kg
Weight (KG) →
Result →
80
58
2
39
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CEPEDA Jefferson Alveiro | 61 |
| 6 | RODAS Manuel | 68 |
| 7 | GUAMÁ Byron | 61 |
| 9 | VELASCO Henry | 58 |
| 38 | KOONTZ Grant | 80 |
| 39 | NOBEL Rick | 78 |