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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Komar
1
73 kgPawlak
3
73 kgSapa
5
82 kgFirsanov
7
58 kgKrupa
8
74 kgRomanik
9
62 kgGaliński
10
63 kg
1
73 kgPawlak
3
73 kgSapa
5
82 kgFirsanov
7
58 kgKrupa
8
74 kgRomanik
9
62 kgGaliński
10
63 kg
Weight (KG) →
Result →
82
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOMAR Mateusz | 73 |
| 3 | PAWLAK Wojciech | 73 |
| 5 | SAPA Marcin | 82 |
| 7 | FIRSANOV Sergey | 58 |
| 8 | KRUPA Dawid | 74 |
| 9 | ROMANIK Radosław | 62 |
| 10 | GALIŃSKI Marek | 63 |