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 = -0.8 * weight + 67
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOUCHER David | 78 |
| 2 | DELPECH Jean-Luc | 72 |
| 4 | GREIPEL André | 80 |
| 5 | DE FAUW Dimitri | 77 |
| 7 | DE WILDE Sjef | 74 |
| 9 | MAASKANT Martijn | 76 |
| 12 | KEISSE Iljo | 72 |
| 13 | RENDERS Sven | 63 |
| 14 | DIDIER Laurent | 68 |
| 15 | STUBBE Tom | 66 |
| 18 | BEPPU Fumiyuki | 69 |
| 20 | PASSERON Aurélien | 73 |