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 = 2.2 * weight - 128
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KONRAD Patrick | 64 |
| 2 | HOFLAND Moreno | 71 |
| 5 | ADAMS Jens | 66 |
| 12 | STÖHR Ján | 72 |
| 13 | TEUNS Dylan | 64 |
| 15 | STÖHR Pavel | 66 |
| 16 | SCHWARZMANN Michael | 69 |
| 17 | DE VOS Gertjan | 72 |
| 24 | HOLLER Nikodemus | 58 |
| 30 | KRAUWEL Bas | 77 |
| 33 | MEIJERS Daan | 70 |
| 34 | JENNEWEIN Sandro | 72 |
| 37 | VAN GINNEKEN Sjoerd | 72 |
| 91 | KOLÁŘ Michael | 90 |
| 105 | RABITSCH Stephan | 69 |