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 + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAVENDISH Mark | 70 |
| 2 | VELITS Peter | 63 |
| 3 | VELITS Martin | 70 |
| 4 | BAK Lars Ytting | 76 |
| 5 | ROULSTON Hayden | 81 |
| 6 | SIUTSOU Kanstantsin | 68 |
| 7 | VAN GARDEREN Tejay | 72 |
| 8 | GOSS Matthew | 70 |
| 9 | BENNATI Daniele | 71 |
| 10 | WILLEMS Frederik | 67 |
| 11 | GUARNIERI Jacopo | 80 |
| 12 | SANTAROMITA Ivan | 58 |
| 13 | KREUZIGER Roman | 65 |
| 14 | NIBALI Vincenzo | 65 |
| 15 | PATERSKI Maciej | 73 |