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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Metlushenko
1
82 kgGrosu
3
68 kgAkdilek
4
68 kgNechita
5
71 kgAsadov
9
77 kgKüçükbay
10
70 kg
1
82 kgGrosu
3
68 kgAkdilek
4
68 kgNechita
5
71 kgAsadov
9
77 kgKüçükbay
10
70 kg
Weight (KG) →
Result →
82
68
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | METLUSHENKO Yuri | 82 |
| 3 | GROSU Eduard-Michael | 68 |
| 4 | AKDILEK Ahmet | 68 |
| 5 | NECHITA Andrei | 71 |
| 9 | ASADOV Elchin | 77 |
| 10 | KÜÇÜKBAY Kemal | 70 |