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 - 28
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Ershov
1
70 kgNovikov
4
65 kgBouglas
5
71 kgÖrken
7
69 kgTiryaki
8
67 kgLuchshenko
9
63 kgMeijers
10
68 kgBalkan
15
64 kgNieto
19
58 kgRostovtsev
20
73 kgBalkan
21
69 kgStash
22
77 kgSayar
27
64 kgYiğit
31
70 kgEvtushenko
32
72 kgSmirnov
39
69 kgÖzgür
40
75 kgFerrari
51
64 kgSnupárek
53
72 kgSamli
55
75 kgTaskan
60
65 kg
1
70 kgNovikov
4
65 kgBouglas
5
71 kgÖrken
7
69 kgTiryaki
8
67 kgLuchshenko
9
63 kgMeijers
10
68 kgBalkan
15
64 kgNieto
19
58 kgRostovtsev
20
73 kgBalkan
21
69 kgStash
22
77 kgSayar
27
64 kgYiğit
31
70 kgEvtushenko
32
72 kgSmirnov
39
69 kgÖzgür
40
75 kgFerrari
51
64 kgSnupárek
53
72 kgSamli
55
75 kgTaskan
60
65 kg
Weight (KG) →
Result →
77
58
1
60
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ERSHOV Artur | 70 |
| 4 | NOVIKOV Savva | 65 |
| 5 | BOUGLAS Georgios | 71 |
| 7 | ÖRKEN Ahmet | 69 |
| 8 | TIRYAKI Oguzhan | 67 |
| 9 | LUCHSHENKO Sergey | 63 |
| 10 | MEIJERS Jeroen | 68 |
| 15 | BALKAN Serkan | 64 |
| 19 | NIETO Edgar | 58 |
| 20 | ROSTOVTSEV Sergey | 73 |
| 21 | BALKAN Onur | 69 |
| 22 | STASH Mamyr | 77 |
| 27 | SAYAR Mustafa | 64 |
| 31 | YIĞIT Tahir | 70 |
| 32 | EVTUSHENKO Alexander | 72 |
| 39 | SMIRNOV Aleksandr | 69 |
| 40 | ÖZGÜR Batuhan | 75 |
| 51 | FERRARI Fabricio | 64 |
| 53 | SNUPÁREK Václav | 72 |
| 55 | SAMLI Feritcan | 75 |
| 60 | TASKAN Oguzhan | 65 |