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 = 1.6 * weight - 84
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Pérez
1
68 kgRojas
4
58 kgSepulveda
26
66 kgBonilla
27
73 kgGarrido
28
68 kgRodas
39
68 kg
1
68 kgRojas
4
58 kgSepulveda
26
66 kgBonilla
27
73 kgGarrido
28
68 kgRodas
39
68 kg
Weight (KG) →
Result →
73
58
1
39
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PÉREZ Marlon Alirio | 68 |
| 4 | ROJAS Juan Carlos | 58 |
| 26 | SEPULVEDA Luis Fernando | 66 |
| 27 | BONILLA José Adrián | 73 |
| 28 | GARRIDO Gonzalo | 68 |
| 39 | RODAS Manuel | 68 |