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 = -2.9 * weight + 231
This means that on average for every extra kilogram weight a rider loses -2.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCCANN David | 73 |
| 2 | REID Robin | 62 |
| 9 | PARK Sung Baek | 73 |
| 21 | MIURA Kyoshi | 67 |
| 26 | ASKARI Hossein | 73 |
| 42 | LLOYD Daniel | 70 |
| 49 | MIZBANI Ghader | 67 |
| 68 | MUKAIGAWA Naoki | 64 |
| 75 | JAWAD Mansoor | 58 |