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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PESSOT Alessandro | 75 |
| 3 | KESSLER Robert | 78 |
| 4 | ANIOŁKOWSKI Stanisław | 68 |
| 6 | DEKKER David | 80 |
| 8 | VAN DER KOOIJ Bas | 70 |
| 9 | MAŁECKI Kamil | 69 |
| 10 | ROJUS Adomaitis | 83 |
| 12 | VAN SINTMAARTENSDIJK Daan | 77 |
| 13 | JERMAN Žiga | 67 |
| 14 | NEUMAN Dominik | 72 |
| 15 | PAWLAK Tobiasz | 81 |
| 17 | FRANZ Marcel | 62 |