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 = 2.8 * weight - 135
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GIL MARTINEZ Tomas Aurelio | 60 |
| 10 | GÁLVIZ Carlos Johan | 65 |
| 11 | CHACÓN José Isidro | 63 |
| 32 | GUAMÁ Byron | 61 |
| 43 | ARGUELYES Arkimedes | 66 |
| 49 | UBETO Miguel Armando | 60 |
| 56 | CASTILLO Ulises Alfredo | 72 |
| 62 | KLIMOV Sergey | 69 |
| 70 | OVECHKIN Artem | 61 |
| 71 | ROVNY Ivan | 62 |
| 89 | CORELLA Rene | 75 |