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 = 2.6 * weight - 124
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | CHACÓN José Isidro | 63 |
| 9 | GÁLVIZ Carlos Johan | 65 |
| 30 | GIL MARTINEZ Tomas Aurelio | 60 |
| 45 | UBETO Miguel Armando | 60 |
| 53 | ARGUELYES Arkimedes | 66 |
| 56 | KLIMOV Sergey | 69 |
| 63 | GUAMÁ Byron | 61 |
| 77 | CASTILLO Ulises Alfredo | 72 |