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 + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BLOUWE Louis | 71 |
| 2 | PETER Jannis | 63 |
| 4 | KNECHT Noah | 66 |
| 5 | INKSTER Eric | 73 |
| 6 | KOSTAŃSKI Mateusz | 74 |
| 8 | MACIEJUK Filip | 78 |
| 9 | LOPES Pedro Miguel | 68 |
| 10 | PRICE-PEJTERSEN Johan | 77 |
| 12 | RETAILLEAU Valentin | 64 |
| 13 | KUŚ Adam | 70 |
| 15 | COLNAGHI Luca | 63 |
| 16 | BRUN Nils | 64 |