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 = 0.8 * weight - 37
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOAZEMI Arvin | 70 |
| 2 | ZARGARI Amir | 62 |
| 5 | SAEIDI TANHA Abbas | 70 |
| 6 | SOHRABI Mehdi | 69 |
| 7 | ASKARI Hossein | 73 |
| 11 | JAWAD Mansoor | 58 |
| 12 | KAZEMI Sarai Ahad | 71 |
| 25 | RAHMANI BEIRAGH Mohsen | 72 |
| 63 | NADIRADZE Giorgi | 70 |