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 = 0.5 * weight - 26
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Rutkiewicz
1
66 kgKostyuk
6
66 kgRomanik
7
62 kgPawlak
8
73 kgKrupa
10
74 kgBodnar
12
68 kgBodnar
13
77 kgSapa
15
82 kg
1
66 kgKostyuk
6
66 kgRomanik
7
62 kgPawlak
8
73 kgKrupa
10
74 kgBodnar
12
68 kgBodnar
13
77 kgSapa
15
82 kg
Weight (KG) →
Result →
82
62
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RUTKIEWICZ Marek | 66 |
| 6 | KOSTYUK Denys | 66 |
| 7 | ROMANIK Radosław | 62 |
| 8 | PAWLAK Wojciech | 73 |
| 10 | KRUPA Dawid | 74 |
| 12 | BODNAR Łukasz | 68 |
| 13 | BODNAR Maciej | 77 |
| 15 | SAPA Marcin | 82 |