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 = -26.4 * weight + 1877
This means that on average for every extra kilogram weight a rider loses -26.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BOROŠ Michael | 69 |
| 3 | SHMIDT Artem | 76 |
| 4 | REINDERINK Pepijn | 67 |
| 5 | GOLLIKER Joshua | 67 |
| 6 | EG Niklas | 60 |
| 7 | TENE Rotem | 72 |
| 8 | GRUEL Thibaud | 70 |
| 9 | WARLOP Jordi | 71 |
| 10 | VAN MECHELEN Vlad | 78 |
| 11 | UHLIG Henri | 69 |
| 12 | NEUMAN Dominik | 72 |
| 16 | KADLEC Milan | 61 |
| 17 | SIMMONS Colby | 68 |
| 991 | PICKERING Finlay | 55 |