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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GOESINNEN Floris | 75 |
| 3 | VAN AVERMAET Greg | 74 |
| 4 | ROJAS José Joaquín | 70 |
| 5 | GOUROV Maxim | 75 |
| 6 | WROLICH Peter | 68 |
| 7 | RABOŇ František | 74 |
| 8 | GALLOPIN Tony | 69 |
| 9 | SCHÄR Michael | 78 |
| 10 | BOUET Maxime | 67 |
| 11 | LEFÈVRE Laurent | 67 |
| 12 | LEMOINE Cyril | 73 |
| 13 | SENTJENS Roy | 75 |
| 14 | VAN WINDEN Dennis | 70 |
| 15 | MURAVYEV Dmitriy | 75 |