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 = -0.6 * weight + 50
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MIZUROV Andrey | 68 |
| 2 | MIZBANI Ghader | 67 |
| 3 | ASKARI Hossein | 73 |
| 4 | ZARGARI Amir | 62 |
| 5 | CHTIOUI Rafaâ | 82 |
| 6 | SOHRABI Mehdi | 69 |
| 9 | WIJAYA Endra | 58 |
| 11 | LAGAB Azzedine | 63 |
| 15 | HASANIN Omar | 75 |
| 16 | SAEIDI TANHA Abbas | 70 |
| 18 | GALEDO Mark John Lexer | 58 |
| 27 | NISHITANI Taiji | 62 |
| 38 | PRIYA PRASETYA Heksa | 62 |