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 = 0.2 * weight + 35
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | JANG Chan Jae | 64 |
| 17 | MANULANG Robin | 59 |
| 35 | WIJAYA Endra | 58 |
| 37 | FENG Chun Kai | 69 |
| 41 | NAKAJIMA Yasuharu | 64 |
| 44 | GALEDO Mark John Lexer | 58 |
| 45 | HAGHI Alireza | 78 |
| 46 | ZARGARI Amir | 62 |
| 48 | CHOI Ki Ho | 59 |
| 54 | MAT AMIN Mohd Shahrul | 54 |
| 58 | CHEUNG King Lok | 59 |
| 73 | SAEIDI TANHA Abbas | 70 |
| 91 | PRIYA PRASETYA Heksa | 62 |