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:
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Topchanyuk
3
65 kgFlaksis
4
79 kgBoev
9
74 kgVasylyuk
15
65 kgVorobyev
19
74 kgFirsanov
22
58 kgBēcis
34
82 kg
3
65 kgFlaksis
4
79 kgBoev
9
74 kgVasylyuk
15
65 kgVorobyev
19
74 kgFirsanov
22
58 kgBēcis
34
82 kg
Weight (KG) →
Result →
82
58
3
34
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | TOPCHANYUK Artem | 65 |
| 4 | FLAKSIS Andžs | 79 |
| 9 | BOEV Igor | 74 |
| 15 | VASYLYUK Andriy | 65 |
| 19 | VOROBYEV Anton | 74 |
| 22 | FIRSANOV Sergey | 58 |
| 34 | BĒCIS Armands | 82 |