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 - 24
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MARECZKO Jakub | 67 |
| 3 | VERMEULEN Alexey | 66 |
| 4 | HOLLER Nikodemus | 58 |
| 7 | REGUIGUI Youcef | 69 |
| 8 | HADDI Soufiane | 63 |
| 9 | MILÁN Diego | 67 |
| 11 | RIVIÈRE David | 63 |
| 12 | TIPPER Jacob | 78 |
| 13 | CARSTENSEN Lucas | 69 |
| 14 | MAITRE Florian | 71 |
| 15 | KURBATOV Alexey | 73 |
| 16 | GAILLARD Marlon | 64 |
| 19 | VOROBYEV Anton | 74 |