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 = 1.5 * weight - 73
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Mizbani
1
67 kgZargari
2
62 kgMizurov
3
68 kgAskari
6
73 kgHristov
9
57 kgMoazemi
16
70 kgNemati Khiavi
17
60 kgSohrabi
18
69 kgNadiradze
24
70 kgSaeidi Tanha
31
70 kgHaghi
39
78 kgKüçükbay
40
70 kgKhalmuratov
46
68 kgEdmüller
48
70 kgGuardiola
50
65 kgMiraliyev
51
68 kgAsadov
52
77 kg
1
67 kgZargari
2
62 kgMizurov
3
68 kgAskari
6
73 kgHristov
9
57 kgMoazemi
16
70 kgNemati Khiavi
17
60 kgSohrabi
18
69 kgNadiradze
24
70 kgSaeidi Tanha
31
70 kgHaghi
39
78 kgKüçükbay
40
70 kgKhalmuratov
46
68 kgEdmüller
48
70 kgGuardiola
50
65 kgMiraliyev
51
68 kgAsadov
52
77 kg
Weight (KG) →
Result →
78
57
1
52
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MIZBANI Ghader | 67 |
| 2 | ZARGARI Amir | 62 |
| 3 | MIZUROV Andrey | 68 |
| 6 | ASKARI Hossein | 73 |
| 9 | HRISTOV Stefan Koychev | 57 |
| 16 | MOAZEMI Arvin | 70 |
| 17 | NEMATI KHIAVI Ali | 60 |
| 18 | SOHRABI Mehdi | 69 |
| 24 | NADIRADZE Giorgi | 70 |
| 31 | SAEIDI TANHA Abbas | 70 |
| 39 | HAGHI Alireza | 78 |
| 40 | KÜÇÜKBAY Kemal | 70 |
| 46 | KHALMURATOV Muradjan | 68 |
| 48 | EDMÜLLER Benjamin | 70 |
| 50 | GUARDIOLA Salvador | 65 |
| 51 | MIRALIYEV Sultanmurat | 68 |
| 52 | ASADOV Elchin | 77 |