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 - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Firsanov
3
58 kgPawlak
5
73 kgGaliński
8
63 kgHuzarski
10
69 kgSapa
12
82 kgRomanik
13
62 kg
3
58 kgPawlak
5
73 kgGaliński
8
63 kgHuzarski
10
69 kgSapa
12
82 kgRomanik
13
62 kg
Weight (KG) →
Result →
82
58
3
13
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | FIRSANOV Sergey | 58 |
| 5 | PAWLAK Wojciech | 73 |
| 8 | GALIŃSKI Marek | 63 |
| 10 | HUZARSKI Bartosz | 69 |
| 12 | SAPA Marcin | 82 |
| 13 | ROMANIK Radosław | 62 |