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 = -2.2 * weight + 168
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PARK Sung Baek | 73 |
| 2 | WONG Kam-Po | 65 |
| 4 | SOHRABI Mehdi | 69 |
| 6 | ASKARI Hossein | 73 |
| 7 | CRAWFORD Jai | 59 |
| 8 | MIZBANI Ghader | 67 |
| 9 | WU Kin San | 68 |
| 13 | ZARGARI Amir | 62 |
| 14 | SAEIDI TANHA Abbas | 70 |
| 17 | ABE Yoshiyuki | 67 |
| 24 | SAI-UDOMSIN Phuchong | 60 |
| 28 | SALEH Mohd Zamri | 58 |
| 33 | MUKAIGAWA Naoki | 64 |
| 40 | GLASNER Björn | 72 |
| 44 | PRIYA PRASETYA Heksa | 62 |
| 64 | WIJAYA Endra | 58 |
| 78 | MANULANG Robin | 59 |