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 = -1.2 * weight + 84
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AYAZBAYEV Maxat | 75 |
| 3 | CECCHINEL Giorgio | 69 |
| 4 | PETILLI Simone | 65 |
| 6 | MROŻEK Marcin | 66 |
| 8 | PIBERNIK Luka | 60 |
| 12 | KOZHATAYEV Bakhtiyar | 62 |
| 13 | FONZI Giuseppe | 63 |
| 14 | FEDOSSEYEV Artur | 61.5 |
| 19 | CICCONE Giulio | 58 |
| 23 | RUSCETTA Andrea | 58 |