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 = 5.1 * weight - 312
This means that on average for every extra kilogram weight a rider loses 5.1 positions in the result.
Gerganov
3
60 kgZargari
5
62 kgKüçükbay
11
70 kgSaeidi Tanha
23
70 kgFox
86
70 kgAsadov
93
77 kg
3
60 kgZargari
5
62 kgKüçükbay
11
70 kgSaeidi Tanha
23
70 kgFox
86
70 kgAsadov
93
77 kg
Weight (KG) →
Result →
77
60
3
93
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GERGANOV Evgeni | 60 |
| 5 | ZARGARI Amir | 62 |
| 11 | KÜÇÜKBAY Kemal | 70 |
| 23 | SAEIDI TANHA Abbas | 70 |
| 86 | FOX Morgan | 70 |
| 93 | ASADOV Elchin | 77 |