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 + 4
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 |
| 3 | MOREAU Christophe | 71 |
| 5 | GONZÁLEZ DE GALDEANO Igor | 73 |
| 8 | GAUMONT Philippe | 77 |
| 10 | DIAZ Rafael | 55 |
| 12 | MATTAN Nico | 69 |
| 13 | BOUYER Franck | 65 |
| 18 | PICHON Mickaël | 62 |
| 19 | NAZON Damien | 68 |
| 21 | HEULOT Stéphane | 69 |
| 23 | HØJ Frank | 80 |
| 24 | JALABERT Nicolas | 68 |
| 25 | GUESDON Frédéric | 73 |