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 = -0.1 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MIZBANI Ghader | 67 |
| 2 | KAZEMI Sarai Ahad | 71 |
| 3 | MIZUROV Andrey | 68 |
| 8 | LIU Biao | 67 |
| 11 | JIAO Pengda | 65 |
| 12 | GRUZDEV Dmitriy | 78 |
| 14 | MAHORIČ Mitja | 68 |
| 15 | FOFONOV Dmitriy | 65 |
| 16 | AXELSSON Niklas | 73 |
| 18 | SHUSHEMOIN Alexandr | 62 |
| 19 | ROGINA Radoslav | 70 |