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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GREIPEL André | 80 |
| 2 | BOONEN Tom | 82 |
| 3 | ROELANDTS Jürgen | 78 |
| 4 | SINKELDAM Ramon | 77 |
| 5 | VAN POPPEL Danny | 82 |
| 6 | VAN STAEYEN Michael | 62 |
| 7 | JACOBS Pieter | 68 |
| 8 | ARASHIRO Yukiya | 64 |
| 9 | VAN ASBROECK Tom | 72 |
| 10 | TERPSTRA Niki | 75 |
| 11 | VANTOMME Maxime | 63 |
| 12 | PETIT Adrien | 80 |
| 13 | MAES Nikolas | 78 |