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 = 0.5 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAZHKOU Stanislau | 65 |
| 2 | VORGANOV Eduard | 65 |
| 5 | NIKITIN Matvey | 61 |
| 6 | CHOLAKOV Stanimir | 66 |
| 9 | BUDYAK Anatoliy | 53 |
| 10 | ALMEIDA João | 63 |
| 11 | VIEL Mattia | 72 |
| 12 | PAPOK Siarhei | 76 |
| 13 | VIEJO José Daniel | 75 |
| 17 | KÜÇÜKBAY Kemal | 70 |
| 21 | TSOY Vladimir | 73 |
| 23 | BALKAN Serkan | 64 |
| 24 | TIRYAKI Oguzhan | 67 |
| 29 | AHIYEVICH Aleh | 70 |