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 - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JUNGELS Bob | 70 |
| 2 | PAUWELS Serge | 65 |
| 3 | BARDET Romain | 65 |
| 4 | BOASSON HAGEN Edvald | 75 |
| 5 | DUMOULIN Tom | 69 |
| 6 | VAN AVERMAET Greg | 74 |
| 7 | COSTA Rui | 69 |
| 8 | CAPIOT Amaury | 69 |
| 9 | DE VRIES Berden | 70 |
| 10 | REBELLIN Davide | 63 |
| 11 | DE TIER Floris | 60 |
| 13 | DEHAES Kenny | 73 |
| 14 | NIBALI Vincenzo | 65 |
| 15 | KOZONTCHUK Dmitry | 75 |
| 16 | VANSPEYBROUCK Pieter | 76 |