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 = 1.1 * weight - 42
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Pérez
27
68 kgGarrido
29
68 kgRodas
32
68 kgSepulveda
36
66 kgBonilla
40
73 kg
27
68 kgGarrido
29
68 kgRodas
32
68 kgSepulveda
36
66 kgBonilla
40
73 kg
Weight (KG) →
Result →
73
66
27
40
| # | Rider | Weight (KG) |
|---|---|---|
| 27 | PÉREZ Marlon Alirio | 68 |
| 29 | GARRIDO Gonzalo | 68 |
| 32 | RODAS Manuel | 68 |
| 36 | SEPULVEDA Luis Fernando | 66 |
| 40 | BONILLA José Adrián | 73 |