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 = -1.9 * weight + 151
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GLASNER Björn | 72 |
| 2 | CRAWFORD Jai | 59 |
| 3 | ASKARI Hossein | 73 |
| 9 | MIZBANI Ghader | 67 |
| 11 | ABE Yoshiyuki | 67 |
| 12 | PARK Sung Baek | 73 |
| 26 | WU Kin San | 68 |
| 31 | ZARGARI Amir | 62 |
| 32 | WIJAYA Endra | 58 |
| 34 | SOHRABI Mehdi | 69 |
| 35 | MANULANG Robin | 59 |
| 42 | SAI-UDOMSIN Phuchong | 60 |
| 44 | MUKAIGAWA Naoki | 64 |
| 47 | SAEIDI TANHA Abbas | 70 |
| 53 | WONG Kam-Po | 65 |
| 62 | SALEH Mohd Zamri | 58 |
| 65 | PRIYA PRASETYA Heksa | 62 |