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 = -1.3 * weight + 118
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | ZAKHAROV Artyom | 70 |
| 8 | CHAN Chun Hing | 70 |
| 10 | GALEDO Mark John Lexer | 58 |
| 12 | CHOI Ki Ho | 59 |
| 15 | NGUYỄN Trường Tài | 70 |
| 28 | LACHANCE Jean-Michel | 72 |
| 29 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 35 | SALEH Mohd Harrif | 70 |
| 43 | SALEH Mohd Zamri | 58 |
| 45 | RAHMANI BEIRAGH Mohsen | 72 |
| 46 | PANASSENKO Nikita | 69 |
| 64 | TRỊNH Đức Tâm | 70 |
| 83 | MAT AMIN Mohd Shahrul | 54 |
| 89 | EBSEN John | 58 |