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 = 0.9 * weight - 36
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PETROV Danail Andonov | 63 |
| 2 | GERGANOV Evgeni | 60 |
| 5 | BOMMEL Henning | 75 |
| 8 | ȚVETCOV Serghei | 69 |
| 14 | HRISTOV Stefan Koychev | 57 |
| 15 | MESTRE Ricardo | 58 |
| 22 | LIVRAMENTO David | 55 |
| 29 | IGNATENKO Petr | 63 |
| 34 | GYUROV Spas | 75 |
| 41 | JOVANOVIĆ Nebojša | 60 |
| 42 | TOMIĆ Marko | 79 |
| 43 | KASA Gabor | 72 |
| 47 | MIHAYLOV Nikolay | 70 |
| 50 | BENGSCH Robert | 85 |
| 52 | PETROV Daniel Bogomilov | 66 |