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 = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HERREGODTS Rune | 70 |
| 2 | MEENS Johan | 62 |
| 3 | KAŠPAR Jan | 73 |
| 4 | KUKRLE Michael | 73 |
| 6 | FORTIN Filippo | 78 |
| 7 | VAN DIJKE Tim | 74 |
| 8 | BITTNER Pavel | 73 |
| 9 | KOCH Jonas | 75 |
| 10 | DE KLEIJN Arvid | 68 |
| 11 | BÁRTA Tomáš | 79 |
| 12 | GROSU Eduard-Michael | 68 |
| 13 | PEÁK Barnabás | 74 |
| 14 | APERS Ruben | 70 |
| 15 | BERCKMOES Jenno | 61 |
| 16 | KOPECKÝ Tomáš | 73 |
| 17 | DELACROIX Théo | 70 |