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 = -1.5 * weight + 128
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GLASNER Björn | 72 |
| 2 | CRAWFORD Jai | 59 |
| 4 | MIZBANI Ghader | 67 |
| 5 | ASKARI Hossein | 73 |
| 10 | ABE Yoshiyuki | 67 |
| 14 | PARK Sung Baek | 73 |
| 26 | WIJAYA Endra | 58 |
| 28 | MANULANG Robin | 59 |
| 30 | ZARGARI Amir | 62 |
| 34 | WU Kin San | 68 |
| 40 | MUKAIGAWA Naoki | 64 |
| 49 | SAI-UDOMSIN Phuchong | 60 |
| 51 | SOHRABI Mehdi | 69 |
| 53 | WONG Kam-Po | 65 |
| 61 | SAEIDI TANHA Abbas | 70 |
| 69 | SALEH Mohd Zamri | 58 |
| 70 | PRIYA PRASETYA Heksa | 62 |