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 = -0.6 * weight + 53
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BOGDANOVIČS Māris | 68 |
| 3 | GROVES Kaden | 76 |
| 4 | BAZHKOU Stanislau | 65 |
| 11 | OKAMOTO Hayato | 65 |
| 12 | VASYLYUK Andriy | 65 |
| 13 | MOHD ZARIFF Muhammad Nur Aiman | 63 |
| 15 | HINDLEY Jai | 60 |
| 16 | MONSALVE Yonathan | 62 |
| 18 | BUDYAK Anatoliy | 53 |
| 21 | CHOI Hiu Fung | 53 |
| 22 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 24 | AHMAD Muhammad Ameer | 66 |
| 28 | RAMANAU Raman | 68 |