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 = 2.5 * weight - 139
This means that on average for every extra kilogram weight a rider loses 2.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOHL Bernhard | 61 |
| 2 | LODER Thierry | 62 |
| 8 | DUPONT Hubert | 57 |
| 9 | PAUWELS Serge | 65 |
| 13 | LOSADA Alberto | 69 |
| 14 | DEKKER Thomas | 69 |
| 17 | BERNAUDEAU Giovanni | 62 |
| 19 | DE MAAR Marc | 70 |
| 27 | BONNAIRE Olivier | 67 |
| 31 | BEPPU Fumiyuki | 69 |
| 32 | COUTOULY Cédric | 72 |
| 34 | PAURIOL Rémi | 68 |
| 39 | DRANCOURT Pierre | 68 |
| 40 | PARISIEN François | 64 |
| 46 | DI GRÉGORIO Rémy | 67 |
| 53 | DRUJON Mathieu | 75 |
| 58 | ESTRADA Juan Javier | 70 |