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 = -1.2 * weight + 126
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SALEH Mohd Zamri | 58 |
| 7 | MANULANG Robin | 59 |
| 12 | SEO Joon Yong | 66 |
| 25 | FENG Chun Kai | 69 |
| 29 | ALIZADEH Hossein | 62 |
| 33 | MCCANN David | 73 |
| 48 | GOH Choon Huat | 54 |
| 53 | WACKER Eugen | 65 |
| 68 | NISHITANI Taiji | 62 |
| 73 | HUANG Wen Chung | 55 |
| 89 | FUKUSHIMA Shinichi | 62 |
| 92 | SAI-UDOMSIN Phuchong | 60 |
| 102 | PRIYA PRASETYA Heksa | 62 |