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 + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN BAARLE Dylan | 78 |
| 2 | BOSMAN Gert-Jan | 68 |
| 3 | MARKUS Barry | 75 |
| 4 | KRAUWEL Bas | 77 |
| 6 | VAN DER LIJKE Nick | 61 |
| 7 | HOFLAND Moreno | 71 |
| 8 | OLIVIER Daan | 64 |
| 9 | TEUNISSEN Mike | 73 |
| 10 | SCHOONBROODT Bob | 78 |
| 12 | EISING Tijmen | 80 |
| 13 | KELDERMAN Wilco | 65 |
| 14 | HAVIK Yoeri | 66 |
| 15 | VAN DER HAAR Lars | 58 |
| 20 | GROEN Ike | 70.5 |