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 = -0.2 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | STAMSNIJDER Tom | 76 |
| 4 | FLENS Rick | 82 |
| 5 | REUS Kai | 70 |
| 6 | BOOM Lars | 75 |
| 8 | DE MAAR Marc | 70 |
| 9 | HUIZENGA Jenning | 72 |
| 10 | DUIJN Huub | 73 |
| 11 | TERPSTRA Niki | 75 |
| 12 | BELLEMAKERS Dirk | 75 |
| 13 | VAN EMDEN Jos | 78 |
| 16 | MAASKANT Martijn | 76 |
| 18 | TIMMER Albert | 77 |
| 22 | VAN AMERONGEN Thijs | 70 |