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 = -1.4 * weight + 134
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Pérez
25
68 kgRodas
31
68 kgSepulveda
36
66 kgBonilla
39
73 kgGarrido
49
68 kgRojas
57
58 kg
25
68 kgRodas
31
68 kgSepulveda
36
66 kgBonilla
39
73 kgGarrido
49
68 kgRojas
57
58 kg
Weight (KG) →
Result →
73
58
25
57
| # | Rider | Weight (KG) |
|---|---|---|
| 25 | PÉREZ Marlon Alirio | 68 |
| 31 | RODAS Manuel | 68 |
| 36 | SEPULVEDA Luis Fernando | 66 |
| 39 | BONILLA José Adrián | 73 |
| 49 | GARRIDO Gonzalo | 68 |
| 57 | ROJAS Juan Carlos | 58 |