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 + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | WHITEHOUSE Daniel | 58 |
| 3 | CAHYADI Aiman | 52 |
| 4 | CHAWCHIANGKWANG Peerapol | 64 |
| 5 | CARSTENSEN Lucas | 69 |
| 6 | MIZBANI Ghader | 67 |
| 7 | HIBATULAH Jamal | 55 |
| 10 | GOH Choon Huat | 54 |
| 11 | VOLKERS Samuel | 67 |
| 14 | FELIPE Marcelo | 58 |
| 16 | KURNIAWAN Maulana Fahrizal | 55 |
| 17 | NIETO Edgar | 58 |
| 21 | SAI-UDOMSIN Phuchong | 60 |
| 22 | GALEDO Mark John Lexer | 58 |
| 25 | AZMAN Muhamad Zawawi | 57 |
| 26 | NOVARDIANTO Jamalidin | 69 |
| 27 | MAZUKI Nur Amirul Fakhruddin | 57 |