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 = -1.5 * weight + 116
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
Ramirez
2
71 kgGuevara
4
65 kgRaabe
7
71 kgAmador
8
73 kgRojas
20
58 kgOchoa
39
62 kg
2
71 kgGuevara
4
65 kgRaabe
7
71 kgAmador
8
73 kgRojas
20
58 kgOchoa
39
62 kg
Weight (KG) →
Result →
73
58
2
39
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RAMIREZ Federico | 71 |
| 4 | GUEVARA Manuel Enrique | 65 |
| 7 | RAABE Henry | 71 |
| 8 | AMADOR Andrey | 73 |
| 20 | ROJAS Juan Carlos | 58 |
| 39 | OCHOA Carlos José | 62 |