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 = 0.7 * weight - 39
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARECZKO Jakub | 67 |
| 2 | ÖRKEN Ahmet | 69 |
| 4 | PALINI Andrea | 67 |
| 11 | WANG Meiyin | 70 |
| 12 | LAAS Martin | 76 |
| 13 | SHPILEVSKY Boris | 78 |
| 14 | SISR František | 72 |
| 16 | VERSCHOOR Martijn | 74.5 |
| 18 | HADDI Soufiane | 63 |
| 20 | ŠIŠKEVIČIUS Evaldas | 80 |
| 21 | MEIJERS Jeroen | 68 |
| 24 | DAL COL Andrea | 80 |
| 32 | VAITKUS Tomas | 75 |