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 = -1.1 * weight + 112
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | GOTTSTEIN Simon | 68 |
| 5 | HARASIM Mihnea-Alexandru | 72 |
| 7 | WIĘCZKOWSKI Paweł | 63 |
| 18 | PURTSCHELLER Jakob | 75 |
| 20 | TAMM Lauri | 73 |
| 23 | STOLIĆ Mihajlo | 73 |
| 27 | TOFTEMARK Lucas | 73 |
| 29 | WĄSOWICZ Kajetan | 72 |
| 37 | TVERGAARD Mikkel | 72 |
| 45 | POPOV Vasil | 70 |
| 46 | ALARI Samuele | 63 |
| 47 | YUCA Emre | 65 |
| 49 | SZÖLLŐSSY Ádám | 68 |
| 54 | GORITSCHNIG Marco | 58 |
| 63 | JURÍK Martin | 75 |
| 66 | YILMAZ Ramazan | 65 |