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 - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GRUZDEV Dmitriy | 78 |
| 2 | BIZHIGITOV Zhandos | 76 |
| 3 | STALNOV Nikita | 63 |
| 4 | MIRALIYEV Sultanmurat | 68 |
| 5 | ZAKHAROV Artyom | 70 |
| 6 | NATAROV Yuriy | 68 |
| 7 | PANASSENKO Nikita | 69 |
| 9 | ZEMLYAKOV Oleg | 70 |
| 10 | LAVRENTYEV Anton | 88 |
| 14 | AYAZBAYEV Maxat | 75 |