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 | ZARGARI Amir | 62 |
| 2 | ASKARI Hossein | 73 |
| 4 | MIZBANI Ghader | 67 |
| 17 | WACKER Eugen | 65 |
| 18 | FENG Chun Kai | 69 |
| 19 | MCCANN David | 73 |
| 22 | WIJAYA Endra | 58 |
| 28 | MANULANG Robin | 59 |
| 35 | MAT AMIN Mohd Shahrul | 54 |
| 37 | SOHRABI Mehdi | 69 |
| 38 | PARK Sung Baek | 73 |
| 52 | FUKUDA Shinpei | 70 |
| 67 | TREACEY David | 67 |
| 68 | PRIYA PRASETYA Heksa | 62 |
| 85 | SAEIDI TANHA Abbas | 70 |