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 + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARIESEN Johim | 70 |
| 2 | VAN ZANDBEEK Ronan | 72 |
| 3 | ZEPUNTKE Ruben | 76 |
| 4 | HOLLANDERS Dries | 70 |
| 6 | VAN BAARLE Dylan | 78 |
| 7 | REINDERS Elmar | 78.1 |
| 8 | DE VRIES Berden | 70 |
| 9 | VINGERLING Michael | 75 |
| 11 | GROENEWEGEN Dylan | 70 |
| 15 | PFINGSTEN Christoph | 69 |