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 = -3.4 * weight + 249
This means that on average for every extra kilogram weight a rider loses -3.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ALIZADEH Hossein | 62 |
| 4 | WACKER Eugen | 65 |
| 6 | FENG Chun Kai | 68 |
| 12 | MANULANG Robin | 59 |
| 15 | MCCANN David | 73 |
| 19 | SEO Joon Yong | 66 |
| 20 | NISHITANI Taiji | 62 |
| 27 | SALEH Mohd Zamri | 58 |
| 34 | SAI-UDOMSIN Phuchong | 60 |
| 53 | HUANG Wen Chung | 55 |
| 82 | PRIYA PRASETYA Heksa | 62 |
| 100 | FUKUSHIMA Shinichi | 62 |
| 102 | GOH Choon Huat | 54 |