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 = 1.6 * weight - 79
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ZARGARI Amir | 62 |
| 3 | CHOI Ki Ho | 59 |
| 6 | GALEDO Mark John Lexer | 58 |
| 9 | FENG Chun Kai | 69 |
| 13 | CHEUNG King Lok | 59 |
| 14 | SAEIDI TANHA Abbas | 70 |
| 19 | MANULANG Robin | 59 |
| 28 | MAT AMIN Mohd Shahrul | 54 |
| 30 | WIJAYA Endra | 58 |
| 36 | NAKAJIMA Yasuharu | 64 |
| 64 | JANG Chan Jae | 64 |
| 72 | HAGHI Alireza | 78 |