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 = -0.8 * weight + 69
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Raabe
2
71 kgRamirez
9
71 kgRojas
11
58 kgAmador
16
73 kgOchoa
30
62 kgGuevara
32
65 kg
2
71 kgRamirez
9
71 kgRojas
11
58 kgAmador
16
73 kgOchoa
30
62 kgGuevara
32
65 kg
Weight (KG) →
Result →
73
58
2
32
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RAABE Henry | 71 |
| 9 | RAMIREZ Federico | 71 |
| 11 | ROJAS Juan Carlos | 58 |
| 16 | AMADOR Andrey | 73 |
| 30 | OCHOA Carlos José | 62 |
| 32 | GUEVARA Manuel Enrique | 65 |