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 = -2.2 * weight + 176
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | REID Robin | 62 |
| 11 | PARK Sung Baek | 73 |
| 24 | ASKARI Hossein | 73 |
| 33 | KAZEMI Sarai Ahad | 71 |
| 36 | PRIYA PRASETYA Heksa | 62 |
| 41 | MIZBANI Ghader | 67 |
| 60 | ESPIRITU Victor | 56 |
| 73 | JAWAD Mansoor | 58 |