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 + 6
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WHITEHOUSE Daniel | 58 |
| 2 | CAHYADI Aiman | 52 |
| 3 | CHAWCHIANGKWANG Peerapol | 64 |
| 5 | MIZBANI Ghader | 67 |
| 6 | HIBATULAH Jamal | 55 |
| 7 | CARSTENSEN Lucas | 69 |
| 10 | FELIPE Marcelo | 58 |
| 15 | SAI-UDOMSIN Phuchong | 60 |
| 16 | GALEDO Mark John Lexer | 58 |
| 18 | AZMAN Muhamad Zawawi | 57 |
| 19 | NOVARDIANTO Jamalidin | 69 |
| 20 | MAZUKI Nur Amirul Fakhruddin | 57 |