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 = 1.1 * weight - 50
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Garrido
1
68 kgRojas
11
58 kgRodas
17
68 kgPérez
30
68 kgBonilla
35
73 kgSepulveda
49
66 kg
1
68 kgRojas
11
58 kgRodas
17
68 kgPérez
30
68 kgBonilla
35
73 kgSepulveda
49
66 kg
Weight (KG) →
Result →
73
58
1
49
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GARRIDO Gonzalo | 68 |
| 11 | ROJAS Juan Carlos | 58 |
| 17 | RODAS Manuel | 68 |
| 30 | PÉREZ Marlon Alirio | 68 |
| 35 | BONILLA José Adrián | 73 |
| 49 | SEPULVEDA Luis Fernando | 66 |