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 = 0.6 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Moazemi
2
70 kgHasanin
3
75 kgZargari
6
62 kgRahmani Beiragh
26
72 kgSafarzadeh
31
66 kgHaghi
34
78 kgNadiradze
37
70 kg
2
70 kgHasanin
3
75 kgZargari
6
62 kgRahmani Beiragh
26
72 kgSafarzadeh
31
66 kgHaghi
34
78 kgNadiradze
37
70 kg
Weight (KG) →
Result →
78
62
2
37
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MOAZEMI Arvin | 70 |
| 3 | HASANIN Omar | 75 |
| 6 | ZARGARI Amir | 62 |
| 26 | RAHMANI BEIRAGH Mohsen | 72 |
| 31 | SAFARZADEH Saeid | 66 |
| 34 | HAGHI Alireza | 78 |
| 37 | NADIRADZE Giorgi | 70 |