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 = 0.5 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Ramirez
6
71 kgOchoa
8
62 kgRojas
10
58 kgAmador
18
73 kgGuevara
21
65 kgRaabe
25
71 kg
6
71 kgOchoa
8
62 kgRojas
10
58 kgAmador
18
73 kgGuevara
21
65 kgRaabe
25
71 kg
Weight (KG) →
Result →
73
58
6
25
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | RAMIREZ Federico | 71 |
| 8 | OCHOA Carlos José | 62 |
| 10 | ROJAS Juan Carlos | 58 |
| 18 | AMADOR Andrey | 73 |
| 21 | GUEVARA Manuel Enrique | 65 |
| 25 | RAABE Henry | 71 |