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 = -0.6 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Guevara
5
65 kgRamirez
12
71 kgRaabe
13
71 kgAmador
14
73 kgOchoa
19
62 kgRojas
23
58 kg
5
65 kgRamirez
12
71 kgRaabe
13
71 kgAmador
14
73 kgOchoa
19
62 kgRojas
23
58 kg
Weight (KG) →
Result →
73
58
5
23
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | GUEVARA Manuel Enrique | 65 |
| 12 | RAMIREZ Federico | 71 |
| 13 | RAABE Henry | 71 |
| 14 | AMADOR Andrey | 73 |
| 19 | OCHOA Carlos José | 62 |
| 23 | ROJAS Juan Carlos | 58 |