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 = 11.3 * weight - 725
This means that on average for every extra kilogram weight a rider loses 11.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PAWLAK Tobiasz | 81 |
| 3 | BANASZEK Norbert | 75 |
| 6 | HUITEMA Jasper | 66 |
| 9 | PETERS Marvin | 75 |
| 13 | KONINGS Roan | 69 |
| 15 | ARVANITOU Nikiforos | 71 |
| 16 | BOUGLAS Georgios | 71 |
| 17 | KOSTAŃSKI Mateusz | 74 |
| 18 | BUDZIŃSKI Tomasz | 69 |
| 21 | FRANZ Toni | 60 |
| 24 | MAŚLAK Piotr | 73 |
| 25 | TZORTZAKIS Polychronis | 80 |
| 991 | OTTEMA Rick | 77 |