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 = 0.1 * weight + 16
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LODEWYCK Klaas | 70 |
| 2 | PIETERS Sibrecht | 73 |
| 5 | THURAU Björn | 73 |
| 6 | DOCKX Gert | 64 |
| 7 | VAN STAEYEN Michael | 62 |
| 10 | GHYSELINCK Jan | 74 |
| 14 | KEIZER Martijn | 72 |
| 15 | PAIANI Jean-Lou | 77 |
| 19 | NERZ Dominik | 67 |
| 25 | VERMELTFOORT Coen | 85 |
| 29 | JODTS Sven | 74 |
| 33 | VANMARCKE Sep | 77 |
| 43 | LINDEMAN Bert-Jan | 69 |
| 49 | MEISEN Marcel | 62 |
| 50 | BRUN Frederic | 73 |
| 51 | BICHLMANN Daniel | 72 |