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 = -0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
3 | NADIRADZE Giorgi | 70 |
4 | KÜÇÜKBAY Kemal | 70 |
5 | SAYAR Mustafa | 64 |
7 | HASANIN Omar | 75 |
9 | KAL Miraç | 72 |
14 | HRISTOV Stefan Koychev | 57 |
15 | GYUROV Spas | 75 |
19 | PETROV Daniel Bogomilov | 66 |
20 | WAIS Ahmad Badreddin | 71 |
22 | AKDILEK Ahmet | 68 |