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 = 0.7 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WONG Kam-Po | 65 |
| 7 | NISHITANI Taiji | 62 |
| 10 | MIZUROV Andrey | 68 |
| 15 | WACKER Eugen | 65 |
| 19 | KRUPA Dawid | 74 |
| 20 | BAZAYEV Assan | 62 |
| 21 | TANG Wang Yip | 62 |
| 38 | ABE Yoshiyuki | 67 |
| 43 | WU Kin San | 68 |
| 46 | DYACHENKO Alexandr | 65 |