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 = -0.5 * weight + 49
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHOONBROODT Bob | 78 |
| 2 | VAN BAARLE Dylan | 78 |
| 4 | MARKUS Barry | 75 |
| 5 | VAN GOETHEM Brian | 77 |
| 8 | HOFLAND Moreno | 71 |
| 11 | VAN DER LIJKE Nick | 61 |
| 12 | RIESEBEEK Oscar | 78 |
| 15 | KELDERMAN Wilco | 65 |
| 17 | HAVIK Yoeri | 66 |
| 18 | REINDERS Elmar | 78.1 |
| 19 | OLIVIER Daan | 64 |