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 = -0.4 * weight + 42
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VEYHE Torkil | 77 |
| 6 | AAEN JØRGENSEN Jonas | 63 |
| 7 | BOL Cees | 83 |
| 8 | BÁRTA Jan | 75 |
| 9 | GREGAARD Jonas | 66 |
| 12 | WIRTGEN Tom | 77 |
| 16 | REKITA Szymon | 70 |
| 17 | KRIEGER Alexander | 71 |
| 20 | FRANCK Eamon Lucas | 86 |
| 22 | VAN DALEN Jason | 70 |
| 23 | TIMMERMANS Justin | 72 |
| 27 | TULNER Rens | 62 |
| 28 | GAILLARD Marlon | 64 |