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 + 50
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOGUSŁAWSKI Marceli | 77 |
| 2 | KOGUT Oded | 77 |
| 3 | BÁRTA Tomáš | 79 |
| 6 | RASCH Jesper | 71 |
| 7 | LINDNER Tom | 71 |
| 8 | BANASZEK Alan | 75 |
| 9 | VAN DER HORST Dennis | 62 |
| 12 | LUNDER Eirik | 78 |
| 15 | KRAWCZYK Szymon | 79 |
| 16 | LAŠINIS Venantas | 69 |
| 17 | HALLER Patrick | 68 |
| 18 | MAŚLAK Piotr | 73 |
| 20 | MUNK-OLSEN Oscar | 68 |
| 22 | FRANZ Toni | 60 |
| 25 | RAISBERG Nadav | 67 |
| 26 | OELKE Tim | 78 |