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 = -1.5 * weight + 120
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ØRN-KRISTOFF Felix | 76 |
| 2 | SCHWARZBACHER Matthias | 72 |
| 4 | STIANSEN Jesper | 67 |
| 9 | ŠUMPÍK Pavel | 63 |
| 11 | GOTTSTEIN Simon | 68 |
| 13 | KONGSTAD Alfred | 75 |
| 22 | SZÖLLŐSSY Ádám | 68 |
| 24 | ZAHÁLKA Štěpán | 69 |
| 30 | HOBOLTH Marius | 71 |
| 33 | PERAN Ian | 64 |
| 41 | WROLICH Manolo | 58 |