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 - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELDERMAN Wilco | 65 |
| 2 | BARGUIL Warren | 61 |
| 3 | TEUNS Dylan | 64 |
| 4 | FERNÁNDEZ Rubén | 60 |
| 5 | LECUISINIER Pierre-Henri | 65 |
| 6 | VERONA Carlos | 68 |
| 7 | SEPÚLVEDA Eduardo | 59 |
| 8 | VAKOČ Petr | 68 |
| 9 | PARRA Heiner Rodrigo | 51 |
| 10 | COQUARD Bryan | 59 |
| 11 | GRMAY Tsgabu | 63 |
| 12 | LATOUR Pierre | 66 |
| 13 | SENNI Manuel | 60 |
| 14 | CHETOUT Loïc | 70 |
| 15 | ROOSEN Timo | 78 |
| 16 | BARBERO Carlos | 66 |
| 17 | HIRT Jan | 62 |