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 + 22
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | MATYSIAK Bartłomiej | 71 |
| 13 | KOSTYUK Denys | 66 |
| 15 | ZAMANA Cezary | 74 |
| 27 | ROMANIK Radosław | 62 |
| 28 | WITECKI Mariusz | 70 |
| 30 | KIENDYŚ Tomasz | 78 |
| 32 | LISOWICZ Tomasz | 85 |
| 35 | FIRSANOV Sergey | 58 |
| 36 | BODNAR Łukasz | 68 |
| 40 | SAPA Marcin | 82 |
| 52 | MIRONOV Alexander | 68 |