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 + 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JULICH Bobby | 68 |
| 7 | GUESDON Frédéric | 73 |
| 8 | BOUYER Franck | 65 |
| 9 | DURAND Jacky | 76 |
| 10 | MAIGNAN Gilles | 63 |
| 12 | SALMON Benoît | 60 |
| 13 | LANGELLA Anthony | 76 |
| 16 | SIMON François | 70 |
| 18 | DJAVANIAN Viatcheslav | 64 |
| 21 | NAZON Jean-Patrick | 74 |
| 22 | POLI Eros | 87 |
| 25 | SAUGRAIN Cyril | 62 |
| 27 | SIVAKOV Alexei | 72 |