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 = 0.3 * weight + 8
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Stedman
1
54 kgÖrken
2
69 kgMeijers
3
68 kgRostovtsev
5
73 kgKhalmuratov
8
68 kgHamdan
14
66 kgFomovskiy
16
82 kgBulut
17
64 kgLakasek
22
71 kgLagab
23
63 kgYokotsuka
26
70 kgParashchak
28
66 kgNakashima
33
59 kgÖzgür
34
75 kgSamli
36
75 kgMukaigawa
41
64 kgAkkoyun
42
67 kgMaral
45
68 kgElli
46
62 kgCeyhan
52
71 kgYiğit
55
70 kgSaleh
59
70 kg
1
54 kgÖrken
2
69 kgMeijers
3
68 kgRostovtsev
5
73 kgKhalmuratov
8
68 kgHamdan
14
66 kgFomovskiy
16
82 kgBulut
17
64 kgLakasek
22
71 kgLagab
23
63 kgYokotsuka
26
70 kgParashchak
28
66 kgNakashima
33
59 kgÖzgür
34
75 kgSamli
36
75 kgMukaigawa
41
64 kgAkkoyun
42
67 kgMaral
45
68 kgElli
46
62 kgCeyhan
52
71 kgYiğit
55
70 kgSaleh
59
70 kg
Weight (KG) →
Result →
82
54
1
59
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEDMAN Maximilian | 54 |
| 2 | ÖRKEN Ahmet | 69 |
| 3 | MEIJERS Jeroen | 68 |
| 5 | ROSTOVTSEV Sergey | 73 |
| 8 | KHALMURATOV Muradjan | 68 |
| 14 | HAMDAN Wan Abdul Rahman | 66 |
| 16 | FOMOVSKIY Aleksey | 82 |
| 17 | BULUT Samet | 64 |
| 22 | LAKASEK Irwandie | 71 |
| 23 | LAGAB Azzedine | 63 |
| 26 | YOKOTSUKA Kohei | 70 |
| 28 | PARASHCHAK Yaroslav | 66 |
| 33 | NAKASHIMA Masato | 59 |
| 34 | ÖZGÜR Batuhan | 75 |
| 36 | SAMLI Feritcan | 75 |
| 41 | MUKAIGAWA Naoki | 64 |
| 42 | AKKOYUN Baris | 67 |
| 45 | MARAL Ahmet | 68 |
| 46 | ELLI Konstantin | 62 |
| 52 | CEYHAN Hakki Adnan | 71 |
| 55 | YIĞIT Tahir | 70 |
| 59 | SALEH Mohd Harrif | 70 |