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 + 24
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Kuschynski
1
65 kgSiutsou
2
68 kgSamoilau
3
77 kgHutarovich
5
71 kgKoshevoy
11
62.5 kg
1
65 kgSiutsou
2
68 kgSamoilau
3
77 kgHutarovich
5
71 kgKoshevoy
11
62.5 kg
Weight (KG) →
Result →
77
62.5
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KUSCHYNSKI Aleksandr | 65 |
| 2 | SIUTSOU Kanstantsin | 68 |
| 3 | SAMOILAU Branislau | 77 |
| 5 | HUTAROVICH Yauheni | 71 |
| 11 | KOSHEVOY Ilia | 62.5 |