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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BURGOS Nacor | 58 |
| 2 | TJALLINGII Maarten | 81 |
| 3 | WEISSINGER René | 74 |
| 4 | DYACHENKO Alexandr | 65 |
| 5 | LLOYD Daniel | 70 |
| 6 | MCCANN David | 73 |
| 8 | FAILLI Francesco | 65 |
| 9 | IMPEY Daryl | 72 |
| 11 | VORGANOV Eduard | 65 |
| 15 | ASKARI Hossein | 73 |
| 16 | KOSTYUK Denys | 66 |
| 19 | MARINANGELI Sergio | 65 |