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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERLIER Tim | 76 |
| 3 | DAINESE Alberto | 70 |
| 4 | STEWART Jake | 66 |
| 5 | EEKHOFF Nils | 75 |
| 6 | GROVES Kaden | 76 |
| 7 | BÁRTA Jan | 75 |
| 8 | BISSEGGER Stefan | 78 |
| 9 | FOUCHÉ James | 71 |
| 10 | MOZZATO Luca | 67 |
| 11 | VEYHE Torkil | 77 |
| 12 | MALDONADO Anthony | 57 |
| 13 | PAGE Dylan | 64 |
| 14 | IRIBE Shotaro | 61 |
| 15 | VERMEERSCH Florian | 81 |