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 + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZAKARIA Akmal Hakim | 59 |
| 2 | CULEY Marcus | 69 |
| 3 | LEBAS Thomas | 65 |
| 4 | CRAWFORD Jai | 59 |
| 7 | SETIAWAN Andreas Odie Purnama | 61 |
| 8 | HIBATULAH Jamal | 55 |
| 9 | CAHYADI Aiman | 52 |
| 10 | GARCÍA Ricardo | 68 |
| 13 | AZMAN Muhamad Zawawi | 57 |
| 16 | MAT AMIN Mohd Shahrul | 54 |
| 17 | MOHD ZARIFF Muhammad Nur Aiman | 63 |
| 18 | TSUBAKI Hiroshi | 62 |
| 19 | VOLKERS Samuel | 67 |
| 24 | NIETO Edgar | 58 |
| 26 | FELIPE Marcelo | 58 |
| 27 | NOVARDIANTO Jamalidin | 69 |
| 29 | MISBAH Muhsin Al Redha | 56 |