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) |
|---|---|---|
| 1 | BURGOS Nacor | 58 |
| 2 | WEISSINGER René | 74 |
| 3 | TJALLINGII Maarten | 81 |
| 4 | MCCANN David | 73 |
| 7 | VORGANOV Eduard | 65 |
| 8 | LLOYD Daniel | 70 |
| 9 | FAILLI Francesco | 65 |
| 10 | KOSTYUK Denys | 66 |
| 12 | MARINANGELI Sergio | 65 |
| 13 | IMPEY Daryl | 72 |
| 17 | ASKARI Hossein | 73 |
| 19 | DYACHENKO Alexandr | 65 |