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 + 166
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SHPILEVSKY Boris | 78 |
| 5 | FENG Chun Kai | 69 |
| 6 | ALIZADEH Hossein | 62 |
| 7 | LIPHONGYU Navuti | 61 |
| 11 | BOONRATANATHANAKORN Turakit | 72 |
| 17 | MIZBANI Ghader | 67 |
| 24 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 28 | WONG Kam-Po | 65 |
| 31 | CHEUNG King Lok | 59 |
| 44 | FUKUSHIMA Shinichi | 62 |
| 45 | PRIYA PRASETYA Heksa | 62 |
| 67 | SAI-UDOMSIN Phuchong | 60 |
| 71 | SIRIRONNACHAI Sarawut | 61 |