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 = -0.3 * weight + 30
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Metlushenko
1
82 kgKaňkovský
2
83 kgShpilevsky
4
78 kgMartinez
5
69 kgÖrken
6
69 kgButs
7
68 kgPeeters
8
67 kg
1
82 kgKaňkovský
2
83 kgShpilevsky
4
78 kgMartinez
5
69 kgÖrken
6
69 kgButs
7
68 kgPeeters
8
67 kg
Weight (KG) →
Result →
83
67
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | METLUSHENKO Yuri | 82 |
| 2 | KAŇKOVSKÝ Alois | 83 |
| 4 | SHPILEVSKY Boris | 78 |
| 5 | MARTINEZ Yannick | 69 |
| 6 | ÖRKEN Ahmet | 69 |
| 7 | BUTS Vitaliy | 68 |
| 8 | PEETERS Kevin | 67 |