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 = 1.7 * weight - 88
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | VAN HUMMEL Kenny | 64 |
| 15 | CURVERS Roy | 73 |
| 20 | ROOIJAKKERS Piet | 68 |
| 25 | HOOGERLAND Johnny | 65 |
| 26 | KONYSHEV Dmitry | 77 |
| 38 | STAM Danny | 64 |
| 40 | LUPAȘ Pavel-Emil | 74 |
| 44 | VEELERS Tom | 75 |
| 48 | DE KORT Koen | 69 |
| 49 | ELIJZEN Michiel | 80 |
| 57 | SUTHERLAND Rory | 75 |
| 64 | DE NEEF Steven | 75 |