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 + 56
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Sepulveda
10
66 kgPérez
11
68 kgRaabe
33
71 kgRagonessi
41
67 kgRamirez
45
71 kgRojas
54
58 kgMedina
63
65 kgAmador
64
73 kg
10
66 kgPérez
11
68 kgRaabe
33
71 kgRagonessi
41
67 kgRamirez
45
71 kgRojas
54
58 kgMedina
63
65 kgAmador
64
73 kg
Weight (KG) →
Result →
73
58
10
64
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | SEPULVEDA Luis Fernando | 66 |
| 11 | PÉREZ Pedro Pablo | 68 |
| 33 | RAABE Henry | 71 |
| 41 | RAGONESSI José | 67 |
| 45 | RAMIREZ Federico | 71 |
| 54 | ROJAS Juan Carlos | 58 |
| 63 | MEDINA Jose Alfredo | 65 |
| 64 | AMADOR Andrey | 73 |