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 = -0.6 * weight + 71
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | CALDEIRA Samuel José | 76 |
| 5 | BOMMEL Henning | 75 |
| 8 | BENGSCH Robert | 85 |
| 9 | PETROV Danail Andonov | 63 |
| 12 | PETROV Daniel Bogomilov | 66 |
| 16 | LIVRAMENTO David | 55 |
| 19 | JOVANOVIĆ Nebojša | 60 |
| 24 | ȚVETCOV Serghei | 69 |
| 25 | KASA Gabor | 72 |
| 28 | GERGANOV Evgeni | 60 |
| 41 | TOMIĆ Marko | 79 |
| 42 | HRISTOV Stefan Koychev | 57 |
| 65 | IGNATENKO Petr | 63 |
| 68 | MIHAYLOV Nikolay | 70 |
| 76 | GYUROV Spas | 75 |
| 83 | MESTRE Ricardo | 58 |