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 = 0.3 * weight + 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Edmüller
3
70 kgKüçükbay
6
70 kgZargari
11
62 kgAskari
13
73 kgMizbani
15
67 kgMizurov
16
68 kgHristov
17
57 kgGuardiola
22
65 kgAsadov
26
77 kgMiraliyev
30
68 kgHaghi
34
78 kgSohrabi
37
69 kgSaeidi Tanha
39
70 kgKhalmuratov
46
68 kgNemati Khiavi
48
60 kgNadiradze
52
70 kgMoazemi
68
70 kg
3
70 kgKüçükbay
6
70 kgZargari
11
62 kgAskari
13
73 kgMizbani
15
67 kgMizurov
16
68 kgHristov
17
57 kgGuardiola
22
65 kgAsadov
26
77 kgMiraliyev
30
68 kgHaghi
34
78 kgSohrabi
37
69 kgSaeidi Tanha
39
70 kgKhalmuratov
46
68 kgNemati Khiavi
48
60 kgNadiradze
52
70 kgMoazemi
68
70 kg
Weight (KG) →
Result →
78
57
3
68
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | EDMÜLLER Benjamin | 70 |
| 6 | KÜÇÜKBAY Kemal | 70 |
| 11 | ZARGARI Amir | 62 |
| 13 | ASKARI Hossein | 73 |
| 15 | MIZBANI Ghader | 67 |
| 16 | MIZUROV Andrey | 68 |
| 17 | HRISTOV Stefan Koychev | 57 |
| 22 | GUARDIOLA Salvador | 65 |
| 26 | ASADOV Elchin | 77 |
| 30 | MIRALIYEV Sultanmurat | 68 |
| 34 | HAGHI Alireza | 78 |
| 37 | SOHRABI Mehdi | 69 |
| 39 | SAEIDI TANHA Abbas | 70 |
| 46 | KHALMURATOV Muradjan | 68 |
| 48 | NEMATI KHIAVI Ali | 60 |
| 52 | NADIRADZE Giorgi | 70 |
| 68 | MOAZEMI Arvin | 70 |