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 = 0.3 * weight + 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZARGARI Amir | 62 |
| 5 | CHOI Ki Ho | 59 |
| 6 | MANULANG Robin | 59 |
| 11 | FENG Chun Kai | 69 |
| 12 | SAEIDI TANHA Abbas | 70 |
| 24 | JANG Chan Jae | 64 |
| 29 | WIJAYA Endra | 58 |
| 34 | CHEUNG King Lok | 59 |
| 44 | NAKAJIMA Yasuharu | 64 |
| 67 | GALEDO Mark John Lexer | 58 |
| 72 | MAT AMIN Mohd Shahrul | 54 |
| 79 | PRIYA PRASETYA Heksa | 62 |
| 82 | HAGHI Alireza | 78 |