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 = 0.1 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Krupa
1
74 kgKomar
3
73 kgGaliński
5
63 kgFirsanov
6
58 kgRomanik
7
62 kgSaramotins
8
75 kgSapa
10
82 kg
1
74 kgKomar
3
73 kgGaliński
5
63 kgFirsanov
6
58 kgRomanik
7
62 kgSaramotins
8
75 kgSapa
10
82 kg
Weight (KG) →
Result →
82
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KRUPA Dawid | 74 |
| 3 | KOMAR Mateusz | 73 |
| 5 | GALIŃSKI Marek | 63 |
| 6 | FIRSANOV Sergey | 58 |
| 7 | ROMANIK Radosław | 62 |
| 8 | SARAMOTINS Aleksejs | 75 |
| 10 | SAPA Marcin | 82 |