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 - 20
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEIXAS Paul | 61 |
| 2 | SPARFEL Aubin | 59 |
| 4 | GRUPP Louis | 67 |
| 6 | SCHAPER Joeri | 69 |
| 8 | FINN Lorenzo | 63 |
| 10 | ØRN-KRISTOFF Felix | 76 |
| 12 | REMIJN Senna | 68 |
| 13 | SCHELDEMAN Xander | 66 |
| 15 | GRÉGOIRE Baptiste | 65 |
| 18 | ZAHÁLKA Štěpán | 69 |
| 21 | SOLEN Keije | 67 |
| 27 | ŠUMPÍK Pavel | 63 |
| 28 | CHALEIL Louis | 68 |
| 29 | PEŠEK Adam | 67 |