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 + 52
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CIPOLLINI Mario | 77 |
| 2 | LEONI Endrio | 74 |
| 3 | ZABEL Erik | 69 |
| 5 | STRAZZER Massimo | 68 |
| 6 | SPRUCH Zbigniew | 68 |
| 7 | FAGNINI Gian Matteo | 70 |
| 9 | MOREAU Christophe | 71 |
| 10 | SVORADA Ján | 76 |
| 11 | VAN HEESWIJK Max | 73 |
| 12 | ZBERG Markus | 69 |
| 15 | CHANTEUR Pascal | 62 |
| 16 | DE WAELE Fabien | 62 |
| 17 | GONTCHENKOV Alexander | 74 |
| 19 | GONZÁLEZ Santos | 70 |
| 20 | JALABERT Laurent | 66 |