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 + 48
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOIVIN Guillaume | 78 |
| 2 | STUYVEN Jasper | 78 |
| 4 | REIJNEN Kiel | 63 |
| 5 | PERON Andrea | 70 |
| 7 | PUTT Tanner | 75 |
| 9 | FRIEDEMANN Matthias | 75 |
| 10 | ROSSKOPF Joey | 74 |
| 14 | CATAFORD Alexander | 70 |
| 15 | DEIGNAN Philip | 65 |
| 20 | MEIER Christian | 61 |
| 21 | MCCARTY Jonathan Patrick | 68 |
| 22 | LACHANCE Jean-Michel | 72 |
| 23 | DUCHESNE Antoine | 75 |