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 + 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHZHAN Igor | 71 |
| 2 | MARUKHIN Daniil | 64 |
| 3 | BAYEMBAYEV Olzhas | 60 |
| 4 | FEDOROV Yevgeniy | 80 |
| 6 | BRUSSENSKIY Gleb | 64 |
| 9 | NURLYKHASSYM Nurbergen | 65 |
| 11 | ONODERA Kei | 63 |
| 16 | KIM Euro | 68 |
| 32 | SHINODA Koki | 64 |
| 34 | ALIYARI Aidin | 76 |
| 51 | HAMDAN Wan Abdul Rahman | 66 |