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 = -0.1 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Örken
1
69 kgBalkan
2
69 kgBalykin
3
68 kgKaraliok
4
75 kgGanjkhanlou
5
72 kgÖzgür
6
75 kgTiryaki
7
67 kgMuzychkin
8
76 kgChtioui
17
82 kgShumov
18
65 kgNobel
19
78 kgSohrabi
20
69 kgRaileanu
22
63 kgRezvani
23
68 kgSteinacher
26
72 kgAriyan
27
70 kgKüçükbay
28
70 kgSafarzadeh
30
66 kgIvashkin
37
73 kgStrokau
39
74 kg
1
69 kgBalkan
2
69 kgBalykin
3
68 kgKaraliok
4
75 kgGanjkhanlou
5
72 kgÖzgür
6
75 kgTiryaki
7
67 kgMuzychkin
8
76 kgChtioui
17
82 kgShumov
18
65 kgNobel
19
78 kgSohrabi
20
69 kgRaileanu
22
63 kgRezvani
23
68 kgSteinacher
26
72 kgAriyan
27
70 kgKüçükbay
28
70 kgSafarzadeh
30
66 kgIvashkin
37
73 kgStrokau
39
74 kg
Weight (KG) →
Result →
82
63
1
39
# | Rider | Weight (KG) |
---|---|---|
1 | ÖRKEN Ahmet | 69 |
2 | BALKAN Onur | 69 |
3 | BALYKIN Ivan | 68 |
4 | KARALIOK Yauheni | 75 |
5 | GANJKHANLOU Mohammad | 72 |
6 | ÖZGÜR Batuhan | 75 |
7 | TIRYAKI Oguzhan | 67 |
8 | MUZYCHKIN Anton | 76 |
17 | CHTIOUI Rafaâ | 82 |
18 | SHUMOV Nikolai | 65 |
19 | NOBEL Rick | 78 |
20 | SOHRABI Mehdi | 69 |
22 | RAILEANU Cristian | 63 |
23 | REZVANI Morteza | 68 |
26 | STEINACHER Cyrill | 72 |
27 | ARIYAN Behnam | 70 |
28 | KÜÇÜKBAY Kemal | 70 |
30 | SAFARZADEH Saeid | 66 |
37 | IVASHKIN Anton | 73 |
39 | STROKAU Vasili | 74 |