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 + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VELING Quinten | 81 |
| 2 | SESSLER Nícolas | 58 |
| 4 | VAN BREUSSEGEM Elias | 68 |
| 6 | LAGAB Azzedine | 63 |
| 8 | D'HEYGERE Gil | 76 |
| 10 | MEIJERS Jeroen | 68 |
| 12 | ISHIHARA Yuki | 53 |
| 13 | ALMUTAIWEI Mohammad | 74 |
| 14 | LUTZ-ATKINSON Hugo | 68 |
| 15 | ASKARI Hossein | 73 |
| 24 | AZMAN Muhamad Zawawi | 57 |