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 = 0.4 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Mizbani
1
67 kgSohrabi
3
69 kgZargari
4
62 kgAskari
7
73 kgMizurov
10
68 kgGuardiola
14
65 kgKhalmuratov
18
68 kgMoazemi
20
70 kgSaeidi Tanha
24
70 kgNemati Khiavi
29
60 kgAsadov
30
77 kgHaghi
32
78 kgHristov
33
57 kgNadiradze
38
70 kgKüçükbay
48
70 kgEdmüller
50
70 kgMiraliyev
55
68 kg
1
67 kgSohrabi
3
69 kgZargari
4
62 kgAskari
7
73 kgMizurov
10
68 kgGuardiola
14
65 kgKhalmuratov
18
68 kgMoazemi
20
70 kgSaeidi Tanha
24
70 kgNemati Khiavi
29
60 kgAsadov
30
77 kgHaghi
32
78 kgHristov
33
57 kgNadiradze
38
70 kgKüçükbay
48
70 kgEdmüller
50
70 kgMiraliyev
55
68 kg
Weight (KG) →
Result →
78
57
1
55
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MIZBANI Ghader | 67 |
| 3 | SOHRABI Mehdi | 69 |
| 4 | ZARGARI Amir | 62 |
| 7 | ASKARI Hossein | 73 |
| 10 | MIZUROV Andrey | 68 |
| 14 | GUARDIOLA Salvador | 65 |
| 18 | KHALMURATOV Muradjan | 68 |
| 20 | MOAZEMI Arvin | 70 |
| 24 | SAEIDI TANHA Abbas | 70 |
| 29 | NEMATI KHIAVI Ali | 60 |
| 30 | ASADOV Elchin | 77 |
| 32 | HAGHI Alireza | 78 |
| 33 | HRISTOV Stefan Koychev | 57 |
| 38 | NADIRADZE Giorgi | 70 |
| 48 | KÜÇÜKBAY Kemal | 70 |
| 50 | EDMÜLLER Benjamin | 70 |
| 55 | MIRALIYEV Sultanmurat | 68 |