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 = 1.3 * weight - 57
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Sepulveda
11
66 kgRojas
12
58 kgAmador
19
73 kgPérez
32
68 kgMedina
39
65 kgRaabe
44
71 kgRamirez
45
71 kgRagonessi
63
67 kg
11
66 kgRojas
12
58 kgAmador
19
73 kgPérez
32
68 kgMedina
39
65 kgRaabe
44
71 kgRamirez
45
71 kgRagonessi
63
67 kg
Weight (KG) →
Result →
73
58
11
63
| # | Rider | Weight (KG) |
|---|---|---|
| 11 | SEPULVEDA Luis Fernando | 66 |
| 12 | ROJAS Juan Carlos | 58 |
| 19 | AMADOR Andrey | 73 |
| 32 | PÉREZ Pedro Pablo | 68 |
| 39 | MEDINA Jose Alfredo | 65 |
| 44 | RAABE Henry | 71 |
| 45 | RAMIREZ Federico | 71 |
| 63 | RAGONESSI José | 67 |