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 = -0.9 * weight + 70
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Khotulov
1
73 kgMovchan
2
65 kgKriachko
6
73 kgSydor
10
64 kgPolupan
13
62 kgKost
20
64 kg
1
73 kgMovchan
2
65 kgKriachko
6
73 kgSydor
10
64 kgPolupan
13
62 kgKost
20
64 kg
Weight (KG) →
Result →
73
62
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KHOTULOV Denys | 73 |
| 2 | MOVCHAN Andrii | 65 |
| 6 | KRIACHKO Yevhenii | 73 |
| 10 | SYDOR Serhii | 64 |
| 13 | POLUPAN Dmytro | 62 |
| 20 | KOST Vitalii | 64 |