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 * weight + 88
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KRIGBAUM Mathias | 79 |
| 2 | LOOIJ André | 75 |
| 3 | SCOTT Jacob | 68 |
| 5 | PEDERSEN Mads | 76 |
| 6 | MENTEN Milan | 68 |
| 12 | KRUL Stef | 68 |
| 14 | PLANCKAERT Emiel | 69 |
| 17 | LEYSEN Senne | 78 |
| 19 | VAN DER BEKEN Arno | 64 |
| 20 | DE DECKER Alfdan | 68 |
| 26 | CLEPPE Nicolas | 66 |
| 33 | NOBUS Kevin | 79 |
| 34 | GOOSSENS Kobe | 64 |
| 37 | SHAW James | 63 |
| 46 | PYFFEROEN Matthias | 68 |