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 = -0.4 * weight + 43
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | PANASSENKO Nikita | 69 |
| 11 | SAI-UDOMSIN Phuchong | 60 |
| 14 | ALIZADEH Hossein | 62 |
| 16 | GALEDO Mark John Lexer | 58 |
| 18 | SALEH Mohd Harrif | 70 |
| 19 | SAFARZADEH Saeid | 66 |
| 20 | SALEH Mohd Zamri | 58 |
| 23 | MAT AMIN Mohd Shahrul | 54 |
| 26 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 29 | ZAKHAROV Artyom | 70 |
| 36 | MORALES Jan Paul Montealegre | 59 |