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 + 42
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TERPSTRA Niki | 75 |
| 3 | VAN EMDEN Jos | 78 |
| 8 | HONIG Reinier | 61 |
| 9 | MOURIS Jens | 91 |
| 11 | VEELERS Tom | 75 |
| 19 | MAASKANT Martijn | 76 |
| 23 | STAMSNIJDER Tom | 76 |
| 25 | BOOM Lars | 75 |
| 26 | HOOGERLAND Johnny | 65 |
| 30 | SULZBERGER Bernard | 67 |
| 31 | EICHLER Markus | 78 |
| 32 | GOESINNEN Floris | 75 |
| 39 | TIMMER Albert | 77 |
| 43 | AL Thijs | 72 |