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 - 9
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VORGANOV Eduard | 65 |
| 3 | BALKAN Onur | 69 |
| 5 | ZAHIRI Abderrahim | 57 |
| 6 | BAYEMBAYEV Olzhas | 60 |
| 7 | CHOLAKOV Stanimir | 66 |
| 9 | AZMAN Muhamad Zawawi | 57 |
| 10 | JURADO Christofer Robín | 68 |
| 11 | SAMOILAU Branislau | 77 |
| 13 | BALYKIN Ivan | 68 |
| 14 | TIVANI German Nicolás | 67 |
| 16 | RAILEANU Cristian | 63 |
| 17 | STROKAU Vasili | 74 |
| 18 | BAZHKOU Stanislau | 65 |