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 = -0.2 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Raabe
1
71 kgRamirez
1
71 kgAmador
1
73 kgOchoa
3
62 kgGuevara
3
65 kgRojas
4
58 kg
1
71 kgRamirez
1
71 kgAmador
1
73 kgOchoa
3
62 kgGuevara
3
65 kgRojas
4
58 kg
Weight (KG) →
Result →
73
58
1
4
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAABE Henry | 71 |
| 1 | RAMIREZ Federico | 71 |
| 1 | AMADOR Andrey | 73 |
| 3 | OCHOA Carlos José | 62 |
| 3 | GUEVARA Manuel Enrique | 65 |
| 4 | ROJAS Juan Carlos | 58 |