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 + 21
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ELIJZEN Michiel | 80 |
| 3 | HEIJBOER Mathieu | 78 |
| 4 | REUS Kai | 70 |
| 5 | DE MAAR Marc | 70 |
| 6 | DE KORT Koen | 69 |
| 7 | FLENS Rick | 82 |
| 8 | GILING Bas | 72 |
| 10 | DUIJN Huub | 73 |
| 14 | BELLEMAKERS Dirk | 75 |
| 18 | TERPSTRA Niki | 75 |
| 19 | STAMSNIJDER Tom | 76 |
| 23 | LANGEVELD Sebastian | 67 |
| 26 | WALGIEN Jorrit | 78 |