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 = -0.6 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GREIPEL André | 80 |
| 2 | DE FAUW Dimitri | 77 |
| 3 | DELPECH Jean-Luc | 72 |
| 4 | DE WILDE Sjef | 74 |
| 6 | BEPPU Fumiyuki | 69 |
| 7 | RENDERS Sven | 63 |
| 8 | LHUILLIER Régis | 69 |
| 9 | DIDIER Laurent | 68 |
| 11 | PASSERON Aurélien | 73 |
| 15 | FOTHEN Thomas | 71 |
| 19 | KLOSTERGAARD Kasper | 69 |