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 = 0.4 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAIGNAN Gilles | 63 |
| 2 | DJAVANIAN Viatcheslav | 64 |
| 3 | BESSY Frédéric | 65 |
| 4 | DURAND Jacky | 76 |
| 5 | HINAULT Sébastien | 63 |
| 10 | BRASI Rossano | 67 |
| 14 | BOUVARD Gilles | 70 |
| 15 | LANGELLA Anthony | 76 |
| 17 | GUESDON Frédéric | 73 |
| 18 | VASSEUR Cédric | 70 |
| 19 | LODER Thierry | 62 |
| 20 | SIMON François | 70 |
| 21 | RINERO Christophe | 65 |
| 22 | JULICH Bobby | 68 |
| 24 | BOUYER Franck | 65 |
| 27 | SEIGNEUR Eddy | 71 |