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 = 0.8 * weight - 31
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Mizbani
1
67 kgZargari
2
62 kgAskari
3
73 kgMizurov
5
68 kgSohrabi
11
69 kgSaeidi Tanha
12
70 kgHristov
13
57 kgMoazemi
15
70 kgGuardiola
20
65 kgHaghi
28
78 kgNemati Khiavi
33
60 kgNadiradze
38
70 kgAsadov
42
77 kgEdmüller
44
70 kgKhalmuratov
51
68 kgKüçükbay
52
70 kgMiraliyev
57
68 kg
1
67 kgZargari
2
62 kgAskari
3
73 kgMizurov
5
68 kgSohrabi
11
69 kgSaeidi Tanha
12
70 kgHristov
13
57 kgMoazemi
15
70 kgGuardiola
20
65 kgHaghi
28
78 kgNemati Khiavi
33
60 kgNadiradze
38
70 kgAsadov
42
77 kgEdmüller
44
70 kgKhalmuratov
51
68 kgKüçükbay
52
70 kgMiraliyev
57
68 kg
Weight (KG) →
Result →
78
57
1
57
# | Rider | Weight (KG) |
---|---|---|
1 | MIZBANI Ghader | 67 |
2 | ZARGARI Amir | 62 |
3 | ASKARI Hossein | 73 |
5 | MIZUROV Andrey | 68 |
11 | SOHRABI Mehdi | 69 |
12 | SAEIDI TANHA Abbas | 70 |
13 | HRISTOV Stefan Koychev | 57 |
15 | MOAZEMI Arvin | 70 |
20 | GUARDIOLA Salvador | 65 |
28 | HAGHI Alireza | 78 |
33 | NEMATI KHIAVI Ali | 60 |
38 | NADIRADZE Giorgi | 70 |
42 | ASADOV Elchin | 77 |
44 | EDMÜLLER Benjamin | 70 |
51 | KHALMURATOV Muradjan | 68 |
52 | KÜÇÜKBAY Kemal | 70 |
57 | MIRALIYEV Sultanmurat | 68 |