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 = 0.4 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Cepeda
6
61 kgKoontz
9
80 kgGuamá
18
61 kgRodas
19
68 kgVelasco
21
58 kgNobel
39
78 kg
6
61 kgKoontz
9
80 kgGuamá
18
61 kgRodas
19
68 kgVelasco
21
58 kgNobel
39
78 kg
Weight (KG) →
Result →
80
58
6
39
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | CEPEDA Jefferson Alveiro | 61 |
| 9 | KOONTZ Grant | 80 |
| 18 | GUAMÁ Byron | 61 |
| 19 | RODAS Manuel | 68 |
| 21 | VELASCO Henry | 58 |
| 39 | NOBEL Rick | 78 |