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 + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FOMINYKH Daniil | 70 |
| 2 | CHZHAN Igor | 71 |
| 3 | ZEITS Andrey | 73 |
| 4 | BIZHIGITOV Zhandos | 76 |
| 5 | LUTSENKO Alexey | 74 |
| 6 | ZAKHAROV Artyom | 70 |
| 8 | NATAROV Yuriy | 68 |
| 11 | MIRALIYEV Sultanmurat | 68 |
| 13 | LAVRENTYEV Anton | 88 |
| 14 | PRONSKIY Vadim | 58 |
| 15 | MARUKHIN Daniil | 64 |