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 = -0.6 * weight + 61
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | SAFARZADEH Saeid | 66 |
| 9 | ALIZADEH Hossein | 62 |
| 10 | SALEH Mohd Harrif | 70 |
| 11 | SALEH Mohd Zamri | 58 |
| 13 | GALEDO Mark John Lexer | 58 |
| 22 | PANASSENKO Nikita | 69 |
| 27 | SAI-UDOMSIN Phuchong | 60 |
| 31 | MAT AMIN Mohd Shahrul | 54 |
| 33 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 34 | ZAKHAROV Artyom | 70 |
| 50 | MORALES Jan Paul Montealegre | 59 |