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 - 21
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Saidkhuzhin
1
69 kgMelikhov
2
76 kgKapitonov
3
73 kgGazda
4
69 kgKudra
6
68 kgJuszko
8
78 kgPetrov
10
76 kg
1
69 kgMelikhov
2
76 kgKapitonov
3
73 kgGazda
4
69 kgKudra
6
68 kgJuszko
8
78 kgPetrov
10
76 kg
Weight (KG) →
Result →
78
68
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAIDKHUZHIN Gainan | 69 |
| 2 | MELIKHOV Yury | 76 |
| 3 | KAPITONOV Viktor | 73 |
| 4 | GAZDA Stanislaw | 69 |
| 6 | KUDRA Jan | 68 |
| 8 | JUSZKO Janos | 78 |
| 10 | PETROV Aleksei | 76 |