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 = -0.3 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JALABERT Nicolas | 68 |
| 2 | HALGAND Patrice | 67 |
| 3 | VANSEVENANT Wim | 65 |
| 6 | DETILLOUX Christophe | 62 |
| 7 | IVANOV Sergei | 73 |
| 8 | O'GRADY Stuart | 73 |
| 9 | BLAUDZUN Michael | 66 |
| 10 | ETXEBARRIA David | 55 |
| 12 | VERHEYEN Geert | 68 |
| 13 | AERTS Mario | 68 |
| 15 | BÉNÉTEAU Walter | 67 |
| 19 | ETXEBARRIA Unai | 68 |
| 20 | AEBERSOLD Niki | 58 |