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 + 78
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Rostovtsev
1
73 kgBalkan
2
69 kgErshov
3
70 kgSmirnov
4
69 kgNovikov
5
65 kgBouglas
6
71 kgStash
11
77 kgTiryaki
12
67 kgÖrken
15
69 kgÖzgür
16
75 kgMeijers
19
68 kgLuchshenko
21
63 kgBalkan
25
64 kgSayar
32
64 kgFerrari
43
64 kgYiğit
48
70 kgNieto
53
58 kgSnupárek
54
72 kgSamli
55
75 kgTaskan
56
65 kgEvtushenko
62
72 kg
1
73 kgBalkan
2
69 kgErshov
3
70 kgSmirnov
4
69 kgNovikov
5
65 kgBouglas
6
71 kgStash
11
77 kgTiryaki
12
67 kgÖrken
15
69 kgÖzgür
16
75 kgMeijers
19
68 kgLuchshenko
21
63 kgBalkan
25
64 kgSayar
32
64 kgFerrari
43
64 kgYiğit
48
70 kgNieto
53
58 kgSnupárek
54
72 kgSamli
55
75 kgTaskan
56
65 kgEvtushenko
62
72 kg
Weight (KG) →
Result →
77
58
1
62
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROSTOVTSEV Sergey | 73 |
| 2 | BALKAN Onur | 69 |
| 3 | ERSHOV Artur | 70 |
| 4 | SMIRNOV Aleksandr | 69 |
| 5 | NOVIKOV Savva | 65 |
| 6 | BOUGLAS Georgios | 71 |
| 11 | STASH Mamyr | 77 |
| 12 | TIRYAKI Oguzhan | 67 |
| 15 | ÖRKEN Ahmet | 69 |
| 16 | ÖZGÜR Batuhan | 75 |
| 19 | MEIJERS Jeroen | 68 |
| 21 | LUCHSHENKO Sergey | 63 |
| 25 | BALKAN Serkan | 64 |
| 32 | SAYAR Mustafa | 64 |
| 43 | FERRARI Fabricio | 64 |
| 48 | YIĞIT Tahir | 70 |
| 53 | NIETO Edgar | 58 |
| 54 | SNUPÁREK Václav | 72 |
| 55 | SAMLI Feritcan | 75 |
| 56 | TASKAN Oguzhan | 65 |
| 62 | EVTUSHENKO Alexander | 72 |