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 = 0.2 * weight - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAVENDISH Mark | 70 |
| 2 | CACCIA Diego | 70 |
| 3 | FREIRE Óscar | 63 |
| 4 | FARRAR Tyler | 73 |
| 5 | SAGAN Peter | 78 |
| 6 | MODOLO Sacha | 67 |
| 7 | PIRAZZI Stefano | 62 |
| 8 | VAN HUMMEL Kenny | 64 |
| 9 | NAPOLITANO Danilo | 81 |
| 10 | BOŽIČ Borut | 70 |
| 11 | LÖFKVIST Thomas | 70 |
| 12 | BONNET William | 80 |
| 13 | TUFT Svein | 77 |
| 14 | PINOTTI Marco | 67 |
| 15 | PÉREZ Rubén | 65 |
| 16 | MOURIS Jens | 91 |