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 = 25.2 * weight - 942
This means that on average for every extra kilogram weight a rider loses 25.2 positions in the result.
Saeidi Tanha
2
70 kgAskari
990
73 kgMizbani
990
67 kgSohrabi
990
69 kgHasanin
990
75 kgMcCann
990
73 kgKazemi
990
71 kg
2
70 kgAskari
990
73 kgMizbani
990
67 kgSohrabi
990
69 kgHasanin
990
75 kgMcCann
990
73 kgKazemi
990
71 kg
Weight (KG) →
Result →
75
67
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SAEIDI TANHA Abbas | 70 |
| 990 | ASKARI Hossein | 73 |
| 990 | MIZBANI Ghader | 67 |
| 990 | SOHRABI Mehdi | 69 |
| 990 | HASANIN Omar | 75 |
| 990 | MCCANN David | 73 |
| 990 | KAZEMI Sarai Ahad | 71 |