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 = -1.8 * weight + 133
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KAZEMI Sarai Ahad | 71 |
| 2 | MIZBANI Ghader | 67 |
| 3 | PETERSON Tom | 70 |
| 4 | KRUPA Dawid | 74 |
| 5 | MCCANN David | 73 |
| 6 | MILATZ Moritz | 65 |
| 7 | ASKARI Hossein | 73 |
| 20 | JONES Chris | 64 |
| 22 | ARASHIRO Yukiya | 64 |
| 32 | ROMANIK Radosław | 62 |