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 = -1.1 * weight + 96
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SALEH Mohd Harrif | 70 |
| 5 | BĒCIS Armands | 82 |
| 8 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 11 | FELIPE Marcelo | 58 |
| 16 | WALLIN Rasmus Bøgh | 78 |
| 17 | NEWBERY Dylan | 75 |
| 22 | PRUUS Peeter | 71 |
| 25 | WIJAYA Endra | 58 |
| 26 | NEILANDS Krists | 69 |
| 27 | SETIAWAN Andreas Odie Purnama | 61 |
| 32 | AHMAD Muhammad Ameer | 66 |
| 36 | GALEDO Mark John Lexer | 58 |
| 37 | GOH Choon Huat | 54 |
| 62 | MANULANG Robin | 59 |
| 64 | OTHMAN Muhamad Afiq Husaine | 57 |