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 = 2.8 * weight - 146
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHOI Ki Ho | 59 |
| 2 | PUJOL Óscar | 58 |
| 4 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 8 | CAHYADI Aiman | 52 |
| 11 | EBSEN John | 58 |
| 22 | WIJAYA Endra | 58 |
| 29 | MANULANG Robin | 59 |
| 41 | MIRZA Yousif | 60 |
| 56 | RAHMANI BEIRAGH Mohsen | 72 |