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 = -0.1 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KAZEMI Sarai Ahad | 71 |
| 12 | SAI-UDOMSIN Phuchong | 60 |
| 14 | TYBOR Patrik | 72 |
| 16 | ESPIRITU Victor | 56 |
| 23 | UCHIMA Kohei | 63 |
| 29 | WIJAYA Endra | 58 |
| 34 | MIFUNE Masahiko | 70 |
| 40 | GLASNER Björn | 72 |
| 50 | SAGAN Juraj | 65 |
| 52 | TSUJI Yoshimitsu | 62 |