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 = -0.4 * weight + 50
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PETERS Marvin | 75 |
| 6 | HUITEMA Jasper | 66 |
| 8 | MAŚLAK Piotr | 73 |
| 9 | ARVANITOU Nikiforos | 71 |
| 12 | PICIU Mattew-Denis | 64 |
| 15 | ŁĄTKOWSKI Dawid | 68 |
| 17 | DOLAK Kamil | 62 |
| 18 | REINDERINK Joris | 59 |
| 21 | NIELSEN Max | 76 |
| 22 | PERSMEEN Axel | 69 |
| 26 | SCHÖNENBERGER Daniel | 60 |
| 29 | CRĂCIUNU Darius | 65 |
| 30 | KONINGS Roan | 69 |
| 32 | GÄTZI Cyrill | 61 |
| 34 | MÓRÉ-GOSSELIN Olivier | 72 |
| 40 | OLEJNICZAK David | 69 |