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 = -0.1 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KONYSHEV Dmitry | 77 |
| 3 | SERPELLINI Marco | 75 |
| 4 | CUNEGO Damiano | 58 |
| 5 | HAMBURGER Bo | 58 |
| 6 | FACCI Mauro | 68 |
| 7 | VIGANÒ Davide | 67 |
| 8 | PELLIZOTTI Franco | 64 |
| 9 | AGGIANO Elio | 63 |
| 10 | MARZANO Marco | 58 |
| 12 | PETROV Evgeni | 70 |
| 13 | MIHOLJEVIĆ Vladimir | 68 |