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 = -1.2 * weight + 97
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | METLUSHENKO Yuri | 82 |
| 2 | GROSU Eduard-Michael | 68 |
| 5 | NECHITA Andrei | 71 |
| 6 | ASADOV Elchin | 77 |
| 8 | AKDILEK Ahmet | 68 |
| 11 | KASA Gabor | 72 |
| 12 | KÜÇÜKBAY Kemal | 70 |
| 14 | ČANECKÝ Marek | 72 |
| 15 | BAJC Andi | 65 |
| 19 | HRISTOV Stefan Koychev | 57 |
| 20 | KAL Miraç | 72 |
| 21 | BILEKA Volodymyr | 65 |
| 24 | ÖRKEN Ahmet | 69 |
| 36 | SAYAR Mustafa | 64 |
| 39 | JOVANOVIĆ Nebojša | 60 |