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 + 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARVANITOU Nikiforos | 71 |
| 4 | STEDMAN Maximilian | 54 |
| 5 | ÖRKEN Ahmet | 69 |
| 6 | TZORTZAKIS Polychronis | 80 |
| 7 | MIKAYILZADE Musa | 66 |
| 9 | TURKULOV Luka | 65 |
| 10 | JABRAYILOV Samir | 52 |
| 11 | RAILEANU Cristian | 63 |
| 13 | ILIAS Periklis | 69 |
| 17 | BULUT Samet | 64 |
| 20 | LACAILLE Charlie | 58 |
| 21 | SEFA Ylber | 72 |
| 22 | DAVARIAS Ioannis | 72 |
| 27 | MIRZAKHANOV Kamran | 66 |
| 28 | VELIA Olsian | 74 |