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 + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARYCZ Jarosław | 69 |
| 2 | BODNAR Maciej | 77 |
| 3 | SAPA Marcin | 82 |
| 4 | KIENDYŚ Tomasz | 78 |
| 5 | BODNAR Łukasz | 68 |
| 6 | TACIAK Mateusz | 68 |
| 7 | HUZARSKI Bartosz | 69 |
| 9 | BATEK Dariusz | 73 |
| 11 | LISOWICZ Tomasz | 85 |
| 12 | PATERSKI Maciej | 73 |
| 13 | WITECKI Mariusz | 70 |
| 14 | KOHUT Sławomir | 65 |
| 16 | BARANOWSKI Dariusz | 68 |