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 = -0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STUYVEN Jasper | 78 |
| 2 | BOIVIN Guillaume | 78 |
| 3 | PERON Andrea | 70 |
| 4 | REIJNEN Kiel | 63 |
| 9 | ROSSKOPF Joey | 74 |
| 10 | CATAFORD Alexander | 70 |
| 11 | PUTT Tanner | 75 |
| 12 | DEIGNAN Philip | 65 |
| 15 | MEIER Christian | 61 |
| 16 | FRIEDEMANN Matthias | 75 |
| 17 | DUCHESNE Antoine | 75 |