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 = 0.4 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | HASANIN Omar | 75 |
3 | SAYAR Mustafa | 64 |
4 | KÜÇÜKBAY Kemal | 70 |
5 | HRISTOV Stefan Koychev | 57 |
11 | NADIRADZE Giorgi | 70 |
14 | KAL Miraç | 72 |
17 | PETROV Daniel Bogomilov | 66 |
19 | GYUROV Spas | 75 |
25 | AKDILEK Ahmet | 68 |
28 | WAIS Ahmad Badreddin | 71 |