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 + 64
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE FAUW Dimitri | 77 |
| 2 | GREIPEL André | 80 |
| 3 | DE WILDE Sjef | 74 |
| 4 | DELPECH Jean-Luc | 72 |
| 5 | PASSERON Aurélien | 73 |
| 8 | KEISSE Iljo | 72 |
| 9 | RENDERS Sven | 63 |
| 11 | KLOSTERGAARD Kasper | 69 |
| 12 | MARINO Jean-Marc | 65 |
| 14 | DIDIER Laurent | 68 |
| 17 | FEILLU Romain | 62 |