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 = -3.8 * weight + 279
This means that on average for every extra kilogram weight a rider loses -3.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCCANN David | 73 |
| 2 | LLOYD Daniel | 70 |
| 6 | PARK Sung Baek | 73 |
| 7 | ASKARI Hossein | 73 |
| 10 | MIZBANI Ghader | 67 |
| 17 | REID Robin | 62 |
| 46 | MIURA Kyoshi | 67 |
| 49 | MUKAIGAWA Naoki | 64 |
| 71 | JAWAD Mansoor | 58 |