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 = 3.2 * weight - 175
This means that on average for every extra kilogram weight a rider loses 3.2 positions in the result.
Rojas
6
58 kgSepulveda
38
66 kgRodas
39
68 kgGarrido
43
68 kgPérez
44
68 kgBonilla
52
73 kg
6
58 kgSepulveda
38
66 kgRodas
39
68 kgGarrido
43
68 kgPérez
44
68 kgBonilla
52
73 kg
Weight (KG) →
Result →
73
58
6
52
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | ROJAS Juan Carlos | 58 |
| 38 | SEPULVEDA Luis Fernando | 66 |
| 39 | RODAS Manuel | 68 |
| 43 | GARRIDO Gonzalo | 68 |
| 44 | PÉREZ Marlon Alirio | 68 |
| 52 | BONILLA José Adrián | 73 |