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 + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | BARRY Ashlin | 77 |
| 5 | SCHOOFS Jasper | 68 |
| 10 | GRUPP Louis | 67 |
| 11 | CONSOLIDANI Leonardo | 59 |
| 15 | FISHER Sam | 77 |
| 16 | DAHL Marius Innhaug | 68 |
| 17 | ROONI Ron | 72 |
| 18 | VAN KERCKHOVE Matisse | 70 |
| 20 | SCHELDEMAN Xander | 66 |
| 21 | ZAHÁLKA Štěpán | 69 |