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 - 27
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZÜLLE Alex | 72 |
| 2 | MAURI Melchor | 68 |
| 3 | CASAGRANDE Francesco | 64 |
| 4 | CUESTA Iñigo | 62 |
| 5 | ZANINI Stefano | 80 |
| 6 | FRATTINI Francesco | 60 |
| 7 | OLANO Abraham | 70 |
| 9 | NOÈ Andrea | 65 |
| 10 | DUFAUX Laurent | 60 |
| 11 | ODRIOZOLA Jon | 70 |
| 13 | BREUKINK Erik | 70 |
| 14 | DEKKER Erik | 66 |
| 16 | DOMÍNGUEZ Juan Carlos | 64 |
| 17 | JIMÉNEZ José María | 70 |
| 19 | JULICH Bobby | 68 |
| 20 | SERRANO Marcos Antonio | 63 |
| 50 | INDURÁIN Miguel | 76 |