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 - 25
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARECZKO Jakub | 67 |
| 3 | ÖRKEN Ahmet | 69 |
| 4 | PALINI Andrea | 67 |
| 10 | CHTIOUI Rafaâ | 82 |
| 13 | WANG Meiyin | 70 |
| 14 | SHPILEVSKY Boris | 78 |
| 15 | LAAS Martin | 76 |
| 17 | SISR František | 72 |
| 18 | VERSCHOOR Martijn | 74.5 |
| 21 | ŠIŠKEVIČIUS Evaldas | 80 |
| 22 | HADDI Soufiane | 63 |
| 23 | BUTS Vitaliy | 68 |
| 25 | MEIJERS Jeroen | 68 |
| 29 | DAL COL Andrea | 80 |
| 34 | BOL Cees | 83 |