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 = -2.1 * weight + 188
This means that on average for every extra kilogram weight a rider loses -2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | PASSERON Aurélien | 73 |
| 6 | ȚVETCOV Serghei | 69 |
| 7 | VASYLYUK Andriy | 65 |
| 15 | GYUROV Spas | 75 |
| 20 | KAL Miraç | 72 |
| 27 | KROTKÝ Rostislav | 73 |
| 39 | SZEGHALMI Balint | 66 |
| 41 | ČANECKÝ Marek | 72 |
| 47 | AKDILEK Ahmet | 68 |
| 48 | MARGALIOT Ran | 60 |
| 65 | JOVANOVIĆ Nebojša | 60 |
| 67 | LOVASSY Krisztián | 71 |
| 69 | KOGUT Volodymyr | 73 |
| 71 | GERGANOV Evgeni | 60 |
| 74 | VASILYEV Maksym | 70 |
| 81 | PETROV Danail Andonov | 63 |