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 + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAGNIEN Emmanuel | 68 |
| 2 | JALABERT Nicolas | 68 |
| 3 | MCEWEN Robbie | 67 |
| 4 | MOREAU Christophe | 71 |
| 5 | SAUGRAIN Cyril | 62 |
| 6 | FEYS Wim | 80 |
| 7 | GROENENDAAL Richard | 66 |
| 8 | NAZON Damien | 68 |
| 10 | VANSEVENANT Wim | 65 |
| 11 | VIERHOUTEN Aart | 71 |
| 14 | VERHEYEN Geert | 68 |
| 16 | HØJ Frank | 80 |
| 17 | HALGAND Patrice | 67 |
| 18 | HINAULT Sébastien | 63 |