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 = 1.2 * weight - 59
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Zargari
1
62 kgEdmüller
2
70 kgAskari
6
73 kgMizurov
9
68 kgMizbani
10
67 kgMoazemi
11
70 kgHristov
13
57 kgGuardiola
26
65 kgSaeidi Tanha
27
70 kgSohrabi
28
69 kgMiraliyev
29
68 kgNemati Khiavi
30
60 kgHaghi
31
78 kgNadiradze
42
70 kgKhalmuratov
51
68 kgAsadov
60
77 kgKüçükbay
65
70 kg
1
62 kgEdmüller
2
70 kgAskari
6
73 kgMizurov
9
68 kgMizbani
10
67 kgMoazemi
11
70 kgHristov
13
57 kgGuardiola
26
65 kgSaeidi Tanha
27
70 kgSohrabi
28
69 kgMiraliyev
29
68 kgNemati Khiavi
30
60 kgHaghi
31
78 kgNadiradze
42
70 kgKhalmuratov
51
68 kgAsadov
60
77 kgKüçükbay
65
70 kg
Weight (KG) →
Result →
78
57
1
65
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZARGARI Amir | 62 |
| 2 | EDMÜLLER Benjamin | 70 |
| 6 | ASKARI Hossein | 73 |
| 9 | MIZUROV Andrey | 68 |
| 10 | MIZBANI Ghader | 67 |
| 11 | MOAZEMI Arvin | 70 |
| 13 | HRISTOV Stefan Koychev | 57 |
| 26 | GUARDIOLA Salvador | 65 |
| 27 | SAEIDI TANHA Abbas | 70 |
| 28 | SOHRABI Mehdi | 69 |
| 29 | MIRALIYEV Sultanmurat | 68 |
| 30 | NEMATI KHIAVI Ali | 60 |
| 31 | HAGHI Alireza | 78 |
| 42 | NADIRADZE Giorgi | 70 |
| 51 | KHALMURATOV Muradjan | 68 |
| 60 | ASADOV Elchin | 77 |
| 65 | KÜÇÜKBAY Kemal | 70 |