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 = 0.9 * weight - 45
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SAYAR Mustafa | 64 |
| 4 | HRISTOV Stefan Koychev | 57 |
| 5 | KÜÇÜKBAY Kemal | 70 |
| 8 | JASER Nazir | 75 |
| 9 | PETROV Daniel Bogomilov | 66 |
| 13 | NADIRADZE Giorgi | 70 |
| 19 | HASANIN Omar | 75 |
| 22 | GYUROV Spas | 75 |
| 25 | KAL Miraç | 72 |
| 35 | WAIS Ahmad Badreddin | 71 |
| 40 | AKDILEK Ahmet | 68 |