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 = -1.6 * weight + 142
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PRZYDZIAŁ Piotr | 80 |
| 2 | KRUPA Dawid | 74 |
| 3 | KIENDYŚ Tomasz | 78 |
| 8 | PAWLAK Wojciech | 73 |
| 11 | SIVAKOV Alexei | 72 |
| 14 | SAPA Marcin | 82 |
| 15 | LJUNGBLAD Jonas | 70 |
| 22 | HOFFMANN Erik | 65 |
| 31 | GAJEK Artur | 74 |
| 54 | VAN GROEN Arnoud | 69 |
| 55 | MAZUR Peter | 73 |
| 56 | KUKK Sigvard | 74 |