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 = 0.3 * weight + 20
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | ZARGARI Amir | 62 |
| 17 | CHAN Chun Hing | 70 |
| 22 | WIJAYA Endra | 58 |
| 23 | ASKARI Hossein | 73 |
| 31 | TANG Wang Yip | 62 |
| 39 | TASHIRO Yasutaka | 54 |
| 42 | ABE Yoshiyuki | 67 |
| 46 | MIZBANI Ghader | 67 |
| 47 | KAZEMI Sarai Ahad | 71 |
| 58 | SAEIDI TANHA Abbas | 70 |
| 67 | PRIYA PRASETYA Heksa | 62 |