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 + 27
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Hasanin
4
75 kgMoazemi
8
70 kgZargari
9
62 kgHaghi
14
78 kgSafarzadeh
25
66 kgNadiradze
28
70 kgRahmani Beiragh
35
72 kg
4
75 kgMoazemi
8
70 kgZargari
9
62 kgHaghi
14
78 kgSafarzadeh
25
66 kgNadiradze
28
70 kgRahmani Beiragh
35
72 kg
Weight (KG) →
Result →
78
62
4
35
# | Rider | Weight (KG) |
---|---|---|
4 | HASANIN Omar | 75 |
8 | MOAZEMI Arvin | 70 |
9 | ZARGARI Amir | 62 |
14 | HAGHI Alireza | 78 |
25 | SAFARZADEH Saeid | 66 |
28 | NADIRADZE Giorgi | 70 |
35 | RAHMANI BEIRAGH Mohsen | 72 |