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.
Kuschynski
1
65 kgFirsanov
2
58 kgMironov
3
68 kgSaramotins
6
75 kgKondrut
7
79 kgGalimzyanov
11
75 kg
1
65 kgFirsanov
2
58 kgMironov
3
68 kgSaramotins
6
75 kgKondrut
7
79 kgGalimzyanov
11
75 kg
Weight (KG) →
Result →
79
58
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KUSCHYNSKI Aleksandr | 65 |
| 2 | FIRSANOV Sergey | 58 |
| 3 | MIRONOV Alexander | 68 |
| 6 | SARAMOTINS Aleksejs | 75 |
| 7 | KONDRUT Vitaliy | 79 |
| 11 | GALIMZYANOV Denis | 75 |