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 = -0.2 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Haghi
1
78 kgSaeidi Tanha
3
70 kgMoazemi
4
70 kgZargari
5
62 kgAskari
6
73 kgAlizadeh
7
62 kgAriyan
9
70 kg
1
78 kgSaeidi Tanha
3
70 kgMoazemi
4
70 kgZargari
5
62 kgAskari
6
73 kgAlizadeh
7
62 kgAriyan
9
70 kg
Weight (KG) →
Result →
78
62
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAGHI Alireza | 78 |
| 3 | SAEIDI TANHA Abbas | 70 |
| 4 | MOAZEMI Arvin | 70 |
| 5 | ZARGARI Amir | 62 |
| 6 | ASKARI Hossein | 73 |
| 7 | ALIZADEH Hossein | 62 |
| 9 | ARIYAN Behnam | 70 |