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 = 1.6 * weight - 78
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Pérez
13
68 kgRojas
22
58 kgRodas
23
68 kgSepulveda
32
66 kgGarrido
49
68 kgBonilla
52
73 kg
13
68 kgRojas
22
58 kgRodas
23
68 kgSepulveda
32
66 kgGarrido
49
68 kgBonilla
52
73 kg
Weight (KG) →
Result →
73
58
13
52
| # | Rider | Weight (KG) |
|---|---|---|
| 13 | PÉREZ Marlon Alirio | 68 |
| 22 | ROJAS Juan Carlos | 58 |
| 23 | RODAS Manuel | 68 |
| 32 | SEPULVEDA Luis Fernando | 66 |
| 49 | GARRIDO Gonzalo | 68 |
| 52 | BONILLA José Adrián | 73 |