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 = 1.6 * weight - 83
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | DYACHENKO Alexandr | 65 |
| 10 | CHAN Chun Hing | 70 |
| 12 | TANG Wang Yip | 62 |
| 13 | WU Kin San | 68 |
| 19 | ABE Yoshiyuki | 67 |
| 21 | SUZUKI Shinri | 60 |
| 46 | IGLINSKIY Valentin | 68 |
| 50 | ZHANG Liang | 80 |
| 53 | LIU Biao | 67 |