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 = -0.4 * weight + 55
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Raabe
1
71 kgRojas
2
58 kgAmador
6
73 kgRamirez
7
71 kgSepulveda
21
66 kgMedina
40
65 kgPérez
62
68 kgRagonessi
69
67 kg
1
71 kgRojas
2
58 kgAmador
6
73 kgRamirez
7
71 kgSepulveda
21
66 kgMedina
40
65 kgPérez
62
68 kgRagonessi
69
67 kg
Weight (KG) →
Result →
73
58
1
69
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAABE Henry | 71 |
| 2 | ROJAS Juan Carlos | 58 |
| 6 | AMADOR Andrey | 73 |
| 7 | RAMIREZ Federico | 71 |
| 21 | SEPULVEDA Luis Fernando | 66 |
| 40 | MEDINA Jose Alfredo | 65 |
| 62 | PÉREZ Pedro Pablo | 68 |
| 69 | RAGONESSI José | 67 |