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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZAMANA Cezary | 74 |
| 3 | KIENDYŚ Tomasz | 78 |
| 4 | ROMANIK Radosław | 62 |
| 6 | PRZYDZIAŁ Piotr | 80 |
| 8 | BROŻYNA Tomasz | 65 |
| 10 | RIŠKA Martin | 73 |
| 11 | WITECKI Mariusz | 70 |
| 12 | PIĄTEK Zbigniew | 71 |
| 15 | SARAMOTINS Aleksejs | 75 |
| 16 | HUZARSKI Bartosz | 69 |
| 19 | HEGREBERG Morten | 72 |