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 + 65
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Mizbani
1
67 kgSaeidi Tanha
3
70 kgZargari
4
62 kgAskari
5
73 kgHaghi
7
78 kgSohrabi
11
69 kgMizurov
12
68 kgMoazemi
16
70 kgAsadov
17
77 kgHristov
18
57 kgGuardiola
30
65 kgEdmüller
42
70 kgNemati Khiavi
48
60 kgKüçükbay
51
70 kgNadiradze
53
70 kgMiraliyev
54
68 kgKhalmuratov
68
68 kg
1
67 kgSaeidi Tanha
3
70 kgZargari
4
62 kgAskari
5
73 kgHaghi
7
78 kgSohrabi
11
69 kgMizurov
12
68 kgMoazemi
16
70 kgAsadov
17
77 kgHristov
18
57 kgGuardiola
30
65 kgEdmüller
42
70 kgNemati Khiavi
48
60 kgKüçükbay
51
70 kgNadiradze
53
70 kgMiraliyev
54
68 kgKhalmuratov
68
68 kg
Weight (KG) →
Result →
78
57
1
68
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MIZBANI Ghader | 67 |
| 3 | SAEIDI TANHA Abbas | 70 |
| 4 | ZARGARI Amir | 62 |
| 5 | ASKARI Hossein | 73 |
| 7 | HAGHI Alireza | 78 |
| 11 | SOHRABI Mehdi | 69 |
| 12 | MIZUROV Andrey | 68 |
| 16 | MOAZEMI Arvin | 70 |
| 17 | ASADOV Elchin | 77 |
| 18 | HRISTOV Stefan Koychev | 57 |
| 30 | GUARDIOLA Salvador | 65 |
| 42 | EDMÜLLER Benjamin | 70 |
| 48 | NEMATI KHIAVI Ali | 60 |
| 51 | KÜÇÜKBAY Kemal | 70 |
| 53 | NADIRADZE Giorgi | 70 |
| 54 | MIRALIYEV Sultanmurat | 68 |
| 68 | KHALMURATOV Muradjan | 68 |