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 = 3.7 * weight - 210
This means that on average for every extra kilogram weight a rider loses 3.7 positions in the result.
Gerganov
10
60 kgSaeidi Tanha
14
70 kgZargari
16
62 kgKüçükbay
22
70 kgAsadov
72
77 kgFox
100
70 kg
10
60 kgSaeidi Tanha
14
70 kgZargari
16
62 kgKüçükbay
22
70 kgAsadov
72
77 kgFox
100
70 kg
Weight (KG) →
Result →
77
60
10
100
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | GERGANOV Evgeni | 60 |
| 14 | SAEIDI TANHA Abbas | 70 |
| 16 | ZARGARI Amir | 62 |
| 22 | KÜÇÜKBAY Kemal | 70 |
| 72 | ASADOV Elchin | 77 |
| 100 | FOX Morgan | 70 |