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 - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOSTAŃSKI Mateusz | 74 |
| 2 | KUŚ Adam | 70 |
| 3 | BARONCINI Filippo | 74 |
| 4 | MACIEJUK Filip | 78 |
| 5 | BLOUWE Louis | 71 |
| 7 | VAUQUELIN Kévin | 69 |
| 10 | COLNAGHI Luca | 63 |
| 14 | VAN DEN BERG Marijn | 73 |
| 15 | PRICE-PEJTERSEN Johan | 83 |
| 16 | MARSMAN Tim | 75 |
| 17 | GAMPER Mario | 72 |