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 = -0.7 * weight + 65
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOLAHDOZHAGH Amir | 60 |
| 2 | GARCÍA Ricardo | 68 |
| 5 | NEWBERY Dylan | 75 |
| 6 | JANG Kyung-Gu | 64 |
| 10 | VOLKERS Samuel | 67 |
| 14 | FELIPE Marcelo | 58 |
| 16 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 17 | GARCIA Marcos | 55 |
| 19 | GALEDO Mark John Lexer | 58 |
| 25 | GOH Choon Huat | 54 |
| 26 | MANULANG Robin | 59 |
| 37 | NOVARDIANTO Jamalidin | 69 |
| 39 | MAT AMIN Mohd Shahrul | 54 |
| 40 | SETIAWAN Andreas Odie Purnama | 61 |
| 41 | IRAWAN Jefri | 51 |
| 44 | ASO Keisuke | 67 |