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 = -2.7 * weight + 200
This means that on average for every extra kilogram weight a rider loses -2.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MIZBANI Ghader | 67 |
| 2 | KAZEMI Sarai Ahad | 71 |
| 5 | REID Robin | 62 |
| 13 | ASKARI Hossein | 73 |
| 20 | PARK Sung Baek | 73 |
| 45 | ESPIRITU Victor | 56 |
| 50 | PRIYA PRASETYA Heksa | 62 |
| 71 | JAWAD Mansoor | 58 |