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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | TZORTZAKIS Polychronis | 80 |
| 4 | CARSTENSEN Lucas | 69 |
| 5 | BOLE Grega | 69 |
| 6 | BOUGLAS Georgios | 71 |
| 8 | HAMDAN Wan Abdul Rahman | 66 |
| 9 | MAGOSAKI Daiki | 62 |
| 12 | CAHYADI Aiman | 52 |
| 16 | PLIUȘCHIN Alexandr | 66 |
| 17 | CAVANAGH Ryan | 72 |
| 19 | ASADOV Elchin | 77 |
| 20 | ALIYEV Ruslan | 67 |