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 = 0.1 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PETACCHI Alessandro | 70 |
| 2 | BENNATI Daniele | 71 |
| 3 | EL FARES Julien | 62 |
| 5 | DUMA Vladimir | 64 |
| 6 | BOONEN Tom | 82 |
| 7 | FARRAR Tyler | 73 |
| 8 | KRIVTSOV Yuriy | 72 |
| 9 | CAVENDISH Mark | 70 |
| 10 | PAOLINI Luca | 66 |
| 11 | O'GRADY Stuart | 73 |
| 12 | FERNÁNDEZ Koldo | 71 |
| 13 | ROLLIN Dominique | 83 |
| 14 | MCEWEN Robbie | 67 |
| 15 | CAPELLI Ermano | 78 |
| 16 | WEGMANN Fabian | 60 |
| 17 | FRISCHKORN William | 68 |
| 18 | WESTRA Lieuwe | 74 |