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 = -0.3 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GRONDIN Donavan | 77 |
| 3 | WÆRENSKJOLD Søren | 92 |
| 4 | FEDOROV Yevgeniy | 80 |
| 6 | WACKER Ludvig Anton | 68 |
| 8 | SANDER HANSEN Marcus | 68 |
| 11 | NURLYKHASSYM Nurbergen | 65 |
| 14 | OMRZEL Aljaž | 67 |
| 16 | DE MEESTER Luca | 73 |
| 17 | MAZUR Dzianis | 78 |
| 19 | VAN DE PAAR Jarne | 79 |
| 20 | VAN DEN BOSSCHE Fabio | 63 |