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 = 0.9 * weight - 33
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Ershov
2
70 kgÖrken
4
69 kgBouglas
6
71 kgNovikov
7
65 kgLuchshenko
10
63 kgTiryaki
11
67 kgMeijers
15
68 kgEvtushenko
17
72 kgBalkan
18
64 kgNieto
19
58 kgRostovtsev
21
73 kgStash
22
77 kgBalkan
24
69 kgSayar
29
64 kgYiğit
31
70 kgÖzgür
50
75 kgFerrari
54
64 kgTaskan
56
65 kgSnupárek
58
72 kgSmirnov
60
69 kgSamli
62
75 kg
2
70 kgÖrken
4
69 kgBouglas
6
71 kgNovikov
7
65 kgLuchshenko
10
63 kgTiryaki
11
67 kgMeijers
15
68 kgEvtushenko
17
72 kgBalkan
18
64 kgNieto
19
58 kgRostovtsev
21
73 kgStash
22
77 kgBalkan
24
69 kgSayar
29
64 kgYiğit
31
70 kgÖzgür
50
75 kgFerrari
54
64 kgTaskan
56
65 kgSnupárek
58
72 kgSmirnov
60
69 kgSamli
62
75 kg
Weight (KG) →
Result →
77
58
2
62
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ERSHOV Artur | 70 |
| 4 | ÖRKEN Ahmet | 69 |
| 6 | BOUGLAS Georgios | 71 |
| 7 | NOVIKOV Savva | 65 |
| 10 | LUCHSHENKO Sergey | 63 |
| 11 | TIRYAKI Oguzhan | 67 |
| 15 | MEIJERS Jeroen | 68 |
| 17 | EVTUSHENKO Alexander | 72 |
| 18 | BALKAN Serkan | 64 |
| 19 | NIETO Edgar | 58 |
| 21 | ROSTOVTSEV Sergey | 73 |
| 22 | STASH Mamyr | 77 |
| 24 | BALKAN Onur | 69 |
| 29 | SAYAR Mustafa | 64 |
| 31 | YIĞIT Tahir | 70 |
| 50 | ÖZGÜR Batuhan | 75 |
| 54 | FERRARI Fabricio | 64 |
| 56 | TASKAN Oguzhan | 65 |
| 58 | SNUPÁREK Václav | 72 |
| 60 | SMIRNOV Aleksandr | 69 |
| 62 | SAMLI Feritcan | 75 |