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 - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GROŠELJ Žiga | 62 |
| 2 | OWSIAN Łukasz | 66 |
| 3 | ORRICO Davide | 70 |
| 4 | STACHOWIAK Adam | 62 |
| 5 | RUTKIEWICZ Marek | 66 |
| 6 | PAWLAK Tobiasz | 81 |
| 7 | SCHELLING Patrick | 61 |
| 9 | THALMANN Roland | 61 |
| 10 | ANTUNES Amaro | 58 |
| 11 | NIKITIN Matvey | 61 |
| 13 | PIASKOWY Emanuel | 60 |
| 15 | GRABIS Mateusz | 75 |
| 16 | LAŠINIS Venantas | 69 |
| 18 | HONKISZ Adrian | 61 |
| 19 | ČERNÝ Josef | 75 |
| 20 | BÁRTA Jan | 75 |
| 21 | MEILER Lukas | 65 |