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 = 0.2 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Kuschynski
1
65 kgSaramotins
2
75 kgGalimzyanov
4
75 kgMironov
5
68 kgKondrut
6
79 kg
1
65 kgSaramotins
2
75 kgGalimzyanov
4
75 kgMironov
5
68 kgKondrut
6
79 kg
Weight (KG) →
Result →
79
65
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KUSCHYNSKI Aleksandr | 65 |
| 2 | SARAMOTINS Aleksejs | 75 |
| 4 | GALIMZYANOV Denis | 75 |
| 5 | MIRONOV Alexander | 68 |
| 6 | KONDRUT Vitaliy | 79 |