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 = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Shushemoin
1
62 kgSafarzadeh
2
66 kgAskari
3
73 kgHaghi
5
78 kgSohrabi
7
69 kgMazuki
12
57 kgMoazemi
15
70 kg
1
62 kgSafarzadeh
2
66 kgAskari
3
73 kgHaghi
5
78 kgSohrabi
7
69 kgMazuki
12
57 kgMoazemi
15
70 kg
Weight (KG) →
Result →
78
57
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SHUSHEMOIN Alexandr | 62 |
| 2 | SAFARZADEH Saeid | 66 |
| 3 | ASKARI Hossein | 73 |
| 5 | HAGHI Alireza | 78 |
| 7 | SOHRABI Mehdi | 69 |
| 12 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 15 | MOAZEMI Arvin | 70 |