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 = -3.2 * weight + 235
This means that on average for every extra kilogram weight a rider loses -3.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KAZEMI Sarai Ahad | 71 |
| 7 | REID Robin | 62 |
| 9 | PARK Sung Baek | 73 |
| 10 | ASKARI Hossein | 73 |
| 32 | MIZBANI Ghader | 67 |
| 45 | PRIYA PRASETYA Heksa | 62 |
| 46 | ESPIRITU Victor | 56 |
| 84 | JAWAD Mansoor | 58 |