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 = 0.7 * weight - 33
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NORDHAGEN Jørgen | 59 |
| 2 | MALUCELLI Matteo | 68 |
| 3 | PELLIZZARI Giulio | 66 |
| 6 | DOCKX Aaron | 56 |
| 8 | GLIVAR Gal | 64 |
| 10 | TONEATTI Davide | 65 |
| 11 | BRUN Nils | 64 |
| 12 | CAPRA Thomas | 73 |
| 16 | ARRIGHETTI Nicolò | 74 |
| 18 | FINKŠT Tilen | 70 |
| 19 | PLACE Maxence | 58 |
| 20 | DINA Márton | 67 |
| 21 | KONYCHEV Alexander | 76 |
| 22 | BELLETTA Dario Igor | 73 |
| 24 | HOPKINS Dylan | 74 |