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 = -1.4 * weight + 130
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE JONGHE Kevin | 69 |
| 2 | RIESEBEEK Oscar | 78 |
| 3 | BREYNE Jonathan | 83 |
| 6 | VAN HOECKE Gijs | 78 |
| 13 | STUYVEN Jasper | 78 |
| 16 | DEVRIENDT Tom | 70 |
| 17 | REINDERS Elmar | 78.1 |
| 27 | THEUNS Edward | 72 |
| 28 | VAN GOETHEM Brian | 77 |
| 30 | VAN LERBERGHE Bert | 83 |
| 34 | DUNNE Conor | 88 |
| 44 | BYSTRØM Sven Erik | 73 |
| 46 | DE ROOZE Niels | 62 |
| 60 | GALTA Fredrik Strand | 78 |
| 88 | GODERIS Jelle | 63 |