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.
Lisowicz
1
85 kgRomanik
2
62 kgFirsanov
3
58 kgKiryienka
4
69 kgHuzarski
8
69 kgSapa
11
82 kg
1
85 kgRomanik
2
62 kgFirsanov
3
58 kgKiryienka
4
69 kgHuzarski
8
69 kgSapa
11
82 kg
Weight (KG) →
Result →
85
58
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LISOWICZ Tomasz | 85 |
| 2 | ROMANIK Radosław | 62 |
| 3 | FIRSANOV Sergey | 58 |
| 4 | KIRYIENKA Vasil | 69 |
| 8 | HUZARSKI Bartosz | 69 |
| 11 | SAPA Marcin | 82 |