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) |
|---|---|---|
| 1 | WONG Kam-Po | 65 |
| 2 | BAZAYEV Assan | 62 |
| 8 | NISHITANI Taiji | 62 |
| 13 | TANG Wang Yip | 62 |
| 14 | KRUPA Dawid | 74 |
| 17 | WACKER Eugen | 65 |
| 21 | DYACHENKO Alexandr | 65 |
| 25 | MIZUROV Andrey | 68 |
| 36 | WU Kin San | 68 |
| 51 | ABE Yoshiyuki | 67 |