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 = -0.5 * weight + 53
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROBERT Fréderique | 68 |
| 2 | VERMOTE Julien | 74 |
| 6 | SALOMEIN Jarl | 80 |
| 7 | GMELICH MEIJLING Jarno | 77 |
| 8 | STEELS Stijn | 78 |
| 9 | WALLAYS Jelle | 77 |
| 10 | OCKELOEN Jasper | 66 |
| 15 | VANOVERBERGHE Arthur | 65 |
| 17 | MCEVOY Jonathan | 67 |
| 19 | BAESTAENS Vincent | 68 |
| 22 | DECLERCQ Tim | 78 |
| 39 | ROWSELL Erick | 66 |
| 44 | HELVEN Sander | 74 |