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 - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUARDINI Andrea | 66 |
| 2 | SEO Joon Yong | 66 |
| 4 | DEBESAY Mekseb | 64 |
| 5 | BELLETTI Manuel | 72 |
| 6 | ZULKIFLI Nik Mohamad Azman | 65 |
| 7 | MINALI Riccardo | 74 |
| 8 | MOLANO Juan Sebastián | 72 |
| 9 | PACIONI Luca | 67 |
| 10 | ABDURRAHMAN Muhammad | 56 |
| 11 | GROVES Kaden | 76 |
| 13 | PAGE Dylan | 64 |
| 14 | BANASZEK Alan | 75 |
| 17 | WACKERMANN Luca | 68 |