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 = 2.4 * weight - 135
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
Rojas
7
58 kgGarrido
16
68 kgRodas
21
68 kgSepulveda
22
66 kgPérez
35
68 kgBonilla
46
73 kg
7
58 kgGarrido
16
68 kgRodas
21
68 kgSepulveda
22
66 kgPérez
35
68 kgBonilla
46
73 kg
Weight (KG) →
Result →
73
58
7
46
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | ROJAS Juan Carlos | 58 |
| 16 | GARRIDO Gonzalo | 68 |
| 21 | RODAS Manuel | 68 |
| 22 | SEPULVEDA Luis Fernando | 66 |
| 35 | PÉREZ Marlon Alirio | 68 |
| 46 | BONILLA José Adrián | 73 |