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 = -0.9 * weight + 91
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | WONG Kam-Po | 65 |
| 4 | ALIZADEH Hossein | 62 |
| 9 | LIPHONGYU Navuti | 61 |
| 15 | SAI-UDOMSIN Phuchong | 60 |
| 16 | FENG Chun Kai | 68 |
| 23 | BOONRATANATHANAKORN Turakit | 72 |
| 28 | MIZBANI Ghader | 67 |
| 37 | SHPILEVSKY Boris | 78 |
| 50 | CHEUNG King Lok | 59 |
| 52 | SIRIRONNACHAI Sarawut | 61 |
| 58 | PRIYA PRASETYA Heksa | 62 |
| 60 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 62 | FUKUSHIMA Shinichi | 62 |