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 = -0.4 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PETROV Danail Andonov | 63 |
| 4 | BOMMEL Henning | 75 |
| 5 | CALDEIRA Samuel José | 76 |
| 9 | HRISTOV Stefan Koychev | 57 |
| 10 | BENGSCH Robert | 85 |
| 12 | ȚVETCOV Serghei | 69 |
| 15 | PETROV Daniel Bogomilov | 66 |
| 18 | GYUROV Spas | 75 |
| 22 | GERGANOV Evgeni | 60 |
| 23 | KASA Gabor | 72 |
| 26 | JOVANOVIĆ Nebojša | 60 |
| 35 | LIVRAMENTO David | 55 |
| 37 | MESTRE Ricardo | 58 |
| 43 | TOMIĆ Marko | 79 |
| 44 | IGNATENKO Petr | 63 |
| 53 | MIHAYLOV Nikolay | 70 |