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 = 52.8 * weight - 3223
This means that on average for every extra kilogram weight a rider loses 52.8 positions in the result.
Petrov
2
66 kgHasanin
3
75 kgMizbani
4
67 kgKazemi
990
71 kgLupaș
990
74 kgKüçükbay
990
70 kg
2
66 kgHasanin
3
75 kgMizbani
4
67 kgKazemi
990
71 kgLupaș
990
74 kgKüçükbay
990
70 kg
Weight (KG) →
Result →
75
66
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PETROV Daniel Bogomilov | 66 |
| 3 | HASANIN Omar | 75 |
| 4 | MIZBANI Ghader | 67 |
| 990 | KAZEMI Sarai Ahad | 71 |
| 990 | LUPAȘ Pavel-Emil | 74 |
| 990 | KÜÇÜKBAY Kemal | 70 |