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 = 0.8 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GIL MARTINEZ Tomas Aurelio | 60 |
| 5 | GÁLVIZ Carlos Johan | 65 |
| 7 | CHACÓN José Isidro | 63 |
| 25 | MANCEBO Francisco | 64 |
| 36 | PORSEV Alexander | 80 |
| 46 | CHACÓN Javier | 70 |
| 50 | IGNATENKO Petr | 63 |
| 65 | UBETO Miguel Armando | 60 |
| 68 | MIRONOV Alexander | 68 |