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 = 1.2 * weight - 60
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ASKARI Hossein | 73 |
| 4 | ZARGARI Amir | 62 |
| 5 | MIZBANI Ghader | 67 |
| 6 | HAGHI Alireza | 78 |
| 7 | SOHRABI Mehdi | 69 |
| 10 | PUGACI Igor | 67 |
| 16 | ILIAS Periklis | 69 |
| 31 | KAZEMI Sarai Ahad | 71 |
| 37 | KÜÇÜKBAY Kemal | 70 |
| 41 | ASADOV Elchin | 77 |
| 43 | KAL Miraç | 72 |
| 69 | NADIRADZE Giorgi | 70 |