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 = 2.2 * weight - 109
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
Rojas
5
58 kgGarrido
25
68 kgBonilla
32
73 kgPérez
46
68 kgSepulveda
48
66 kgRodas
56
68 kg
5
58 kgGarrido
25
68 kgBonilla
32
73 kgPérez
46
68 kgSepulveda
48
66 kgRodas
56
68 kg
Weight (KG) →
Result →
73
58
5
56
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | ROJAS Juan Carlos | 58 |
| 25 | GARRIDO Gonzalo | 68 |
| 32 | BONILLA José Adrián | 73 |
| 46 | PÉREZ Marlon Alirio | 68 |
| 48 | SEPULVEDA Luis Fernando | 66 |
| 56 | RODAS Manuel | 68 |