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 + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Smetaniuk
4
71 kgBilyi
6
56 kgKriachko
7
73 kgKhotulov
11
73 kgMovchan
12
65 kgSydor
30
64 kg
4
71 kgBilyi
6
56 kgKriachko
7
73 kgKhotulov
11
73 kgMovchan
12
65 kgSydor
30
64 kg
Weight (KG) →
Result →
73
56
4
30
# | Rider | Weight (KG) |
---|---|---|
4 | SMETANIUK Oleksander | 71 |
6 | BILYI Maksym | 56 |
7 | KRIACHKO Yevhenii | 73 |
11 | KHOTULOV Denys | 73 |
12 | MOVCHAN Andrii | 65 |
30 | SYDOR Serhii | 64 |