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 = -1.4 * weight + 118
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Rahmani Beiragh
1
72 kgHaghi
3
78 kgMoazemi
8
70 kgHasanin
18
75 kgSafarzadeh
22
66 kgZargari
28
62 kgNadiradze
39
70 kg
1
72 kgHaghi
3
78 kgMoazemi
8
70 kgHasanin
18
75 kgSafarzadeh
22
66 kgZargari
28
62 kgNadiradze
39
70 kg
Weight (KG) →
Result →
78
62
1
39
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAHMANI BEIRAGH Mohsen | 72 |
| 3 | HAGHI Alireza | 78 |
| 8 | MOAZEMI Arvin | 70 |
| 18 | HASANIN Omar | 75 |
| 22 | SAFARZADEH Saeid | 66 |
| 28 | ZARGARI Amir | 62 |
| 39 | NADIRADZE Giorgi | 70 |