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 = -0.6 * weight + 57
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHZHAN Igor | 71 |
| 2 | FEDOROV Yevgeniy | 80 |
| 4 | KIM Euro | 68 |
| 5 | BRUSSENSKIY Gleb | 64 |
| 8 | MARUKHIN Daniil | 64 |
| 10 | NURLYKHASSYM Nurbergen | 65 |
| 12 | BAYEMBAYEV Olzhas | 60 |
| 14 | ONODERA Kei | 63 |
| 25 | ALIYARI Aidin | 76 |
| 47 | SHINODA Koki | 64 |
| 62 | HAMDAN Wan Abdul Rahman | 66 |