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 = 0.5 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOLAHDOZHAGH Amir | 60 |
| 4 | JANG Kyung-Gu | 64 |
| 7 | GARCIA Marcos | 55 |
| 8 | GARCÍA Ricardo | 68 |
| 11 | GOH Choon Huat | 54 |
| 12 | FELIPE Marcelo | 58 |
| 16 | MANULANG Robin | 59 |
| 20 | ASO Keisuke | 67 |
| 24 | SETIAWAN Andreas Odie Purnama | 61 |
| 25 | CRAWFORD Jai | 59 |
| 26 | NEWBERY Dylan | 75 |