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 + 54
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | SUZUKI Shinri | 60 |
| 9 | DYACHENKO Alexandr | 65 |
| 11 | ABE Yoshiyuki | 67 |
| 12 | CHAN Chun Hing | 70 |
| 21 | ZHANG Liang | 80 |
| 52 | WU Kin San | 68 |
| 57 | IGLINSKIY Valentin | 68 |
| 62 | TANG Wang Yip | 62 |
| 73 | LIU Biao | 67 |