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 = 2.3 * weight - 101
This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | GÁLVIZ Carlos Johan | 65 |
| 10 | CHACÓN José Isidro | 63 |
| 13 | GIL MARTINEZ Tomas Aurelio | 60 |
| 40 | UBETO Miguel Armando | 60 |
| 41 | ARGUELYES Arkimedes | 66 |
| 45 | GUAMÁ Byron | 61 |
| 53 | CASTILLO Ulises Alfredo | 72 |
| 62 | OVECHKIN Artem | 61 |
| 64 | KLIMOV Sergey | 69 |
| 85 | CORELLA Rene | 75 |
| 87 | ROVNY Ivan | 62 |