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 + 37
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ZARGARI Amir | 62 |
| 8 | CHOI Ki Ho | 59 |
| 9 | FENG Chun Kai | 68 |
| 17 | HAGHI Alireza | 78 |
| 18 | CHEUNG King Lok | 59 |
| 21 | MAT AMIN Mohd Shahrul | 54 |
| 22 | SAEIDI TANHA Abbas | 70 |
| 25 | WIJAYA Endra | 58 |
| 29 | GALEDO Mark John Lexer | 58 |
| 30 | NAKAJIMA Yasuharu | 64 |
| 35 | MANULANG Robin | 59 |
| 43 | JANG Chan Jae | 64 |