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 = 1.3 * weight - 49
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | UCHIMA Kohei | 63 |
| 6 | MIFUNE Masahiko | 70 |
| 7 | SALEH Mohd Zamri | 58 |
| 11 | AL MURAWWI Mohammed | 70 |
| 17 | SAI-UDOMSIN Phuchong | 60 |
| 18 | WIJAYA Endra | 58 |
| 19 | MIRZA Yousif | 60 |
| 44 | SAGAN Juraj | 65 |
| 51 | ESPIRITU Victor | 56 |
| 58 | TYBOR Patrik | 72 |
| 59 | KAZEMI Sarai Ahad | 71 |
| 66 | GLASNER Björn | 72 |
| 71 | TSUJI Yoshimitsu | 62 |