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 = 3.2 * weight - 207
This means that on average for every extra kilogram weight a rider loses 3.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | BYSTRØM Sven Erik | 73 |
| 9 | RIESEBEEK Oscar | 78 |
| 11 | DEVRIENDT Tom | 70 |
| 19 | DE ROOZE Niels | 62 |
| 21 | DE JONGHE Kevin | 69 |
| 24 | STUYVEN Jasper | 78 |
| 28 | GALTA Fredrik Strand | 78 |
| 33 | THEUNS Edward | 72 |
| 34 | VAN HOECKE Gijs | 78 |
| 46 | VAN GOETHEM Brian | 77 |
| 69 | REINDERS Elmar | 78.1 |
| 78 | VAN LERBERGHE Bert | 83 |
| 87 | DUNNE Conor | 88 |
| 88 | BREYNE Jonathan | 83 |