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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DIAZ Rafael | 55 |
| 2 | BÄCKSTEDT Magnus | 94 |
| 4 | MCEWEN Robbie | 67 |
| 6 | KLIER Andreas | 72 |
| 8 | VANSEVENANT Wim | 65 |
| 11 | DETILLOUX Christophe | 62 |
| 12 | JALABERT Nicolas | 68 |
| 15 | O'GRADY Stuart | 73 |
| 16 | IVANOV Sergei | 73 |
| 18 | SWEET Jay | 69 |
| 19 | BÉNÉTEAU Walter | 67 |
| 20 | ETXEBARRIA David | 55 |