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 = -0.1 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PASSERON Aurélien | 73 |
| 4 | LOVASSY Krisztián | 71 |
| 8 | VASYLYUK Andriy | 65 |
| 12 | ȚVETCOV Serghei | 69 |
| 14 | GYUROV Spas | 75 |
| 20 | GERGANOV Evgeni | 60 |
| 26 | KAL Miraç | 72 |
| 29 | MARGALIOT Ran | 60 |
| 38 | VASILYEV Maksym | 70 |
| 44 | KROTKÝ Rostislav | 73 |
| 45 | SZEGHALMI Balint | 66 |
| 48 | JOVANOVIĆ Nebojša | 60 |
| 59 | KOGUT Volodymyr | 73 |
| 60 | ČANECKÝ Marek | 72 |
| 63 | AKDILEK Ahmet | 68 |