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 - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BETTINI Paolo | 58 |
| 2 | HUSHOVD Thor | 83 |
| 3 | PAOLINI Luca | 66 |
| 4 | MCEWEN Robbie | 67 |
| 5 | MURN Uroš | 70 |
| 6 | VENTOSO Francisco José | 75 |
| 7 | ISASI Iñaki | 70 |
| 8 | DE SÁRRAGA Mario | 69 |
| 9 | EISEL Bernhard | 74 |
| 10 | NAZON Jean-Patrick | 74 |
| 11 | ZABEL Erik | 69 |
| 12 | DUQUE Leonardo Fabio | 59 |
| 13 | BAZAYEV Assan | 62 |
| 14 | O'GRADY Stuart | 73 |
| 15 | NAPOLITANO Danilo | 81 |
| 16 | BÄCKSTEDT Magnus | 94 |
| 17 | CORIONI Claudio | 67 |