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 = -1.2 * weight + 95
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOLAHDOZHAGH Amir | 60 |
| 3 | GARCÍA Ricardo | 68 |
| 6 | NEWBERY Dylan | 75 |
| 7 | JANG Kyung-Gu | 64 |
| 12 | VOLKERS Samuel | 67 |
| 13 | FELIPE Marcelo | 58 |
| 16 | NOVARDIANTO Jamalidin | 69 |
| 18 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 19 | GARCIA Marcos | 55 |
| 22 | GALEDO Mark John Lexer | 58 |
| 27 | GOH Choon Huat | 54 |
| 28 | MANULANG Robin | 59 |
| 30 | ASO Keisuke | 67 |
| 43 | MAT AMIN Mohd Shahrul | 54 |
| 44 | SETIAWAN Andreas Odie Purnama | 61 |
| 45 | IRAWAN Jefri | 51 |