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 = -1.2 * weight + 102
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Raabe
7
71 kgRamirez
9
71 kgAmador
20
73 kgRojas
21
58 kgOchoa
33
62 kgGuevara
43
65 kg
7
71 kgRamirez
9
71 kgAmador
20
73 kgRojas
21
58 kgOchoa
33
62 kgGuevara
43
65 kg
Weight (KG) →
Result →
73
58
7
43
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | RAABE Henry | 71 |
| 9 | RAMIREZ Federico | 71 |
| 20 | AMADOR Andrey | 73 |
| 21 | ROJAS Juan Carlos | 58 |
| 33 | OCHOA Carlos José | 62 |
| 43 | GUEVARA Manuel Enrique | 65 |