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 + 22
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOHRABI Mehdi | 69 |
| 2 | PARK Sung Baek | 73 |
| 5 | MAT AMIN Mohd Shahrul | 54 |
| 6 | MCCANN David | 73 |
| 16 | FUKUDA Shinpei | 70 |
| 18 | PRIYA PRASETYA Heksa | 62 |
| 20 | WACKER Eugen | 65 |
| 26 | MANULANG Robin | 59 |
| 43 | WIJAYA Endra | 58 |
| 48 | ASKARI Hossein | 73 |
| 51 | FENG Chun Kai | 68 |
| 55 | ZARGARI Amir | 62 |
| 66 | MIZBANI Ghader | 67 |
| 69 | SAEIDI TANHA Abbas | 70 |
| 81 | TREACEY David | 67 |