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 + 27
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRUNEL Alexys | 70 |
| 5 | PEDERSEN Rasmus Lund | 84 |
| 6 | BJERG Mikkel | 78 |
| 8 | PRIMOŽIČ Jaka | 60 |
| 9 | LEKNESSUND Andreas | 72 |
| 12 | EGHOLM Jakob | 69 |
| 14 | GALL Felix | 66 |
| 16 | PRONSKIY Vadim | 58 |
| 18 | OTRUBA Jakub | 75 |