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 = 1.7 * weight - 93
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAYEMBAYEV Olzhas | 60 |
| 2 | MARUKHIN Daniil | 64 |
| 3 | CHZHAN Igor | 71 |
| 4 | BRUSSENSKIY Gleb | 64 |
| 5 | FEDOROV Yevgeniy | 80 |
| 8 | NURLYKHASSYM Nurbergen | 65 |
| 10 | ONODERA Kei | 63 |
| 18 | KIM Euro | 68 |
| 39 | SHINODA Koki | 64 |
| 41 | HAMDAN Wan Abdul Rahman | 66 |
| 42 | ALIYARI Aidin | 76 |
| 72 | FOMOVSKIY Aleksey | 82 |