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 = 2.5 * weight - 136
This means that on average for every extra kilogram weight a rider loses 2.5 positions in the result.
Rojas
3
58 kgRodas
32
68 kgPérez
36
68 kgBonilla
38
73 kgSepulveda
40
66 kgGarrido
42
68 kg
3
58 kgRodas
32
68 kgPérez
36
68 kgBonilla
38
73 kgSepulveda
40
66 kgGarrido
42
68 kg
Weight (KG) →
Result →
73
58
3
42
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ROJAS Juan Carlos | 58 |
| 32 | RODAS Manuel | 68 |
| 36 | PÉREZ Marlon Alirio | 68 |
| 38 | BONILLA José Adrián | 73 |
| 40 | SEPULVEDA Luis Fernando | 66 |
| 42 | GARRIDO Gonzalo | 68 |