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 = 0.4 * weight + 21
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 13 | KRUPA Dawid | 74 |
| 19 | JONES Chris | 64 |
| 20 | ARASHIRO Yukiya | 64 |
| 29 | PETERSON Tom | 70 |
| 61 | MCCANN David | 73 |
| 64 | ROMANIK Radosław | 62 |
| 66 | MILATZ Moritz | 65 |
| 68 | MIZBANI Ghader | 67 |
| 70 | KAZEMI Sarai Ahad | 71 |
| 74 | ASKARI Hossein | 73 |