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 = 4.1 * weight - 246
This means that on average for every extra kilogram weight a rider loses 4.1 positions in the result.
Gil Martinez
1
60 kgChacón
2
63 kgPérez
3
68 kgUbeto
12
60 kgRodas
73
68 kg
1
60 kgChacón
2
63 kgPérez
3
68 kgUbeto
12
60 kgRodas
73
68 kg
Weight (KG) →
Result →
68
60
1
73
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GIL MARTINEZ Tomas Aurelio | 60 |
| 2 | CHACÓN José Isidro | 63 |
| 3 | PÉREZ Pedro Pablo | 68 |
| 12 | UBETO Miguel Armando | 60 |
| 73 | RODAS Manuel | 68 |