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 = 1.1 * weight - 51
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Budiak
1
53 kgKuzmin
2
66 kgÖrken
4
69 kgStedman
5
54 kgMarukhin
7
64 kgBulut
8
64 kgBocharov
9
72 kgKhalmuratov
11
68 kgLagab
14
63 kgMeijers
16
68 kgRemkhi
17
60 kgParashchak
20
66 kgUzun
21
67 kgElli
27
62 kgMukaigawa
31
64 kgYiğit
37
70 kgSamli
38
75 kgMulagaleyev
39
65 kgYokotsuka
40
70 kgNakashima
41
59 kgCeyhan
45
71 kgHamdan
54
66 kgMaral
55
68 kg
1
53 kgKuzmin
2
66 kgÖrken
4
69 kgStedman
5
54 kgMarukhin
7
64 kgBulut
8
64 kgBocharov
9
72 kgKhalmuratov
11
68 kgLagab
14
63 kgMeijers
16
68 kgRemkhi
17
60 kgParashchak
20
66 kgUzun
21
67 kgElli
27
62 kgMukaigawa
31
64 kgYiğit
37
70 kgSamli
38
75 kgMulagaleyev
39
65 kgYokotsuka
40
70 kgNakashima
41
59 kgCeyhan
45
71 kgHamdan
54
66 kgMaral
55
68 kg
Weight (KG) →
Result →
75
53
1
55
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BUDIAK Anatolii | 53 |
| 2 | KUZMIN Anton | 66 |
| 4 | ÖRKEN Ahmet | 69 |
| 5 | STEDMAN Maximilian | 54 |
| 7 | MARUKHIN Daniil | 64 |
| 8 | BULUT Samet | 64 |
| 9 | BOCHAROV Dmitriy | 72 |
| 11 | KHALMURATOV Muradjan | 68 |
| 14 | LAGAB Azzedine | 63 |
| 16 | MEIJERS Jeroen | 68 |
| 17 | REMKHI Rudolf | 60 |
| 20 | PARASHCHAK Yaroslav | 66 |
| 21 | UZUN Emir | 67 |
| 27 | ELLI Konstantin | 62 |
| 31 | MUKAIGAWA Naoki | 64 |
| 37 | YIĞIT Tahir | 70 |
| 38 | SAMLI Feritcan | 75 |
| 39 | MULAGALEYEV Vladimir | 65 |
| 40 | YOKOTSUKA Kohei | 70 |
| 41 | NAKASHIMA Masato | 59 |
| 45 | CEYHAN Hakki Adnan | 71 |
| 54 | HAMDAN Wan Abdul Rahman | 66 |
| 55 | MARAL Ahmet | 68 |