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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KAZEMI Sarai Ahad | 71 |
| 2 | MOAZEMI Arvin | 70 |
| 3 | KOLAHDOZHAGH Amir | 60 |
| 7 | ASKARI Hossein | 73 |
| 8 | HATSUYAMA Sho | 59 |
| 10 | ZARGARI Amir | 62 |
| 11 | LEBAS Thomas | 65 |
| 12 | CRAWFORD Jai | 59 |
| 14 | GARCÍA Ricardo | 68 |
| 16 | MIZBANI Ghader | 67 |