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 + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SMIRNOV Ivan | 83 |
| 4 | MÄRKL Niklas | 70 |
| 5 | DELACROIX Théo | 70 |
| 6 | VERBOOM Minne | 84 |
| 9 | HOOLE Daan | 81 |
| 10 | STEWART Jake | 66 |
| 11 | KIERNER Florian | 79 |
| 13 | JOHANSEN Julius | 77 |
| 14 | ZIJLAARD Maikel | 73 |
| 15 | ARENSMAN Thymen | 69.5 |
| 17 | ŠTOČEK Matúš | 80 |
| 20 | LEKNESSUND Andreas | 72 |
| 23 | GAMPER Florian | 86 |
| 24 | RÖBER Dominik | 68 |