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 + 10
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Siutsou
1
68 kgSamoilau
3
77 kgMuzychkin
4
76 kgKoshevoy
5
62.5 kgKuschynski
7
65 kgPapok
8
76 kgRamanau
9
68 kg
1
68 kgSamoilau
3
77 kgMuzychkin
4
76 kgKoshevoy
5
62.5 kgKuschynski
7
65 kgPapok
8
76 kgRamanau
9
68 kg
Weight (KG) →
Result →
77
62.5
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIUTSOU Kanstantsin | 68 |
| 3 | SAMOILAU Branislau | 77 |
| 4 | MUZYCHKIN Anton | 76 |
| 5 | KOSHEVOY Ilia | 62.5 |
| 7 | KUSCHYNSKI Aleksandr | 65 |
| 8 | PAPOK Siarhei | 76 |
| 9 | RAMANAU Raman | 68 |