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 = 0.4 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Kazemi
1
71 kgSohrabi
2
69 kgAskari
5
73 kgMizbani
6
67 kgHaghi
9
78 kg
1
71 kgSohrabi
2
69 kgAskari
5
73 kgMizbani
6
67 kgHaghi
9
78 kg
Weight (KG) →
Result →
78
67
1
9
# | Rider | Weight (KG) |
---|---|---|
1 | KAZEMI Sarai Ahad | 71 |
2 | SOHRABI Mehdi | 69 |
5 | ASKARI Hossein | 73 |
6 | MIZBANI Ghader | 67 |
9 | HAGHI Alireza | 78 |