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 = 0.3 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POZDNYAKOV Kirill | 67 |
| 2 | VORGANOV Eduard | 65 |
| 3 | CHOLAKOV Stanimir | 66 |
| 4 | ZANA Filippo | 65 |
| 5 | JURADO Christofer Robín | 68 |
| 6 | TIVANI German Nicolás | 67 |
| 7 | BAZHKOU Stanislau | 65 |
| 8 | BAYEMBAYEV Olzhas | 60 |
| 9 | RAILEANU Cristian | 63 |
| 10 | BALYKIN Ivan | 68 |
| 12 | ZAHIRI Abderrahim | 57 |
| 13 | KÜÇÜKBAY Kemal | 70 |
| 14 | BALKAN Onur | 69 |
| 15 | KARALIOK Yauheni | 75 |
| 16 | PANASSENKO Nikita | 69 |