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 = -0.1 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PRUUS Peeter | 71 |
| 2 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 5 | NEWBERY Dylan | 75 |
| 7 | GALEDO Mark John Lexer | 58 |
| 8 | FELIPE Marcelo | 58 |
| 11 | NEILANDS Krists | 69 |
| 16 | SETIAWAN Andreas Odie Purnama | 61 |
| 20 | WALLIN Rasmus Bøgh | 78 |
| 22 | WIJAYA Endra | 58 |
| 24 | GOH Choon Huat | 54 |
| 25 | AHMAD Muhammad Ameer | 66 |
| 37 | SALEH Mohd Harrif | 70 |
| 39 | BĒCIS Armands | 82 |
| 51 | OTHMAN Muhamad Afiq Husaine | 57 |
| 55 | MANULANG Robin | 59 |