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 + 22
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MIZBANI Ghader | 67 |
| 2 | ZARGARI Amir | 62 |
| 4 | MIZUROV Andrey | 68 |
| 5 | CHTIOUI Rafaâ | 82 |
| 6 | WACKER Eugen | 65 |
| 8 | LAGAB Azzedine | 63 |
| 11 | KAZEMI Sarai Ahad | 71 |
| 12 | SAEIDI TANHA Abbas | 70 |
| 18 | NISHITANI Taiji | 62 |
| 20 | WIJAYA Endra | 58 |
| 31 | SOHRABI Mehdi | 69 |
| 33 | TANG Wang Yip | 62 |
| 34 | MANULANG Robin | 59 |
| 71 | PRIYA PRASETYA Heksa | 62 |
| 75 | WU Kin San | 68 |
| 85 | RUDOLPH Malcolm | 69 |
| 115 | FUKUDA Shinpei | 70 |