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 = 0.2 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GARCIA Marcos | 55 |
| 2 | LEBAS Thomas | 65 |
| 3 | SETIAWAN Andreas Odie Purnama | 61 |
| 4 | NIETO Edgar | 58 |
| 5 | MOHD ZARIFF Muhammad Nur Aiman | 63 |
| 8 | CAHYADI Aiman | 52 |
| 9 | EYOB Metkel | 61 |
| 13 | CHZHAN Igor | 71 |
| 15 | GOH Choon Huat | 54 |
| 16 | CULEY Marcus | 69 |
| 17 | RAILEANU Cristian | 63 |
| 19 | OKAMOTO Hayato | 65 |
| 20 | JABRAYILOV Samir | 52 |
| 21 | DINHAM Matthew | 63 |