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 = -0.7 * weight + 64
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN BAARLE Dylan | 78 |
| 2 | RIESEBEEK Oscar | 78 |
| 3 | VAN POPPEL Danny | 82 |
| 4 | TEUNISSEN Mike | 73 |
| 5 | LAMMERTINK Steven | 68 |
| 6 | OLIVIER Daan | 64 |
| 10 | REINDERS Elmar | 78.1 |
| 13 | BUGTER Luuc | 81 |
| 16 | VAN DER POEL David | 75 |
| 18 | TUSVELD Martijn | 70 |
| 22 | BOSMAN Gert-Jan | 68 |
| 26 | OTTEMA Rick | 77 |
| 30 | VAN DER BURG Joost | 72 |
| 33 | BOUWMAN Koen | 60 |
| 34 | BAKKER Dennis | 74.5 |