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 = -0.8 * weight + 85
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PASSERON Aurélien | 73 |
| 11 | VASYLYUK Andriy | 65 |
| 12 | SZEGHALMI Balint | 66 |
| 14 | KROTKÝ Rostislav | 73 |
| 15 | ȚVETCOV Serghei | 69 |
| 23 | JOVANOVIĆ Nebojša | 60 |
| 29 | KOGUT Volodymyr | 73 |
| 30 | GYUROV Spas | 75 |
| 42 | KAL Miraç | 72 |
| 43 | ČANECKÝ Marek | 72 |
| 45 | LOVASSY Krisztián | 71 |
| 51 | MARGALIOT Ran | 60 |
| 56 | GERGANOV Evgeni | 60 |
| 61 | VASILYEV Maksym | 70 |
| 68 | AKDILEK Ahmet | 68 |