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 = -0.5 * weight + 60
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Galedo
1
58 kgPark
2
73 kgAlizadeh
8
62 kgEbsen
9
58 kgGoh
13
54 kgFelipe
15
58 kgSafarzadeh
17
66 kgSeo
21
66 kgPhounsavath
27
67 kgOconer
34
59 kgNishitani
36
62 kgBat-Erdene
38
73 kgBaasankhuu
39
62 kgNovardianto
40
69 kgSaleh
41
58 kgJang
45
64 kgde Jonge
50
65 kgMat Amin
51
54 kgMirza
55
60 kgMinato
62
62 kgNakane
63
55 kg
1
58 kgPark
2
73 kgAlizadeh
8
62 kgEbsen
9
58 kgGoh
13
54 kgFelipe
15
58 kgSafarzadeh
17
66 kgSeo
21
66 kgPhounsavath
27
67 kgOconer
34
59 kgNishitani
36
62 kgBat-Erdene
38
73 kgBaasankhuu
39
62 kgNovardianto
40
69 kgSaleh
41
58 kgJang
45
64 kgde Jonge
50
65 kgMat Amin
51
54 kgMirza
55
60 kgMinato
62
62 kgNakane
63
55 kg
Weight (KG) →
Result →
73
54
1
63
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GALEDO Mark John Lexer | 58 |
| 2 | PARK Sung Baek | 73 |
| 8 | ALIZADEH Hossein | 62 |
| 9 | EBSEN John | 58 |
| 13 | GOH Choon Huat | 54 |
| 15 | FELIPE Marcelo | 58 |
| 17 | SAFARZADEH Saeid | 66 |
| 21 | SEO Joon Yong | 66 |
| 27 | PHOUNSAVATH Ariya | 67 |
| 34 | OCONER George | 59 |
| 36 | NISHITANI Taiji | 62 |
| 38 | BAT-ERDENE Narankhuu | 73 |
| 39 | BAASANKHUU Myagmarsuren | 62 |
| 40 | NOVARDIANTO Jamalidin | 69 |
| 41 | SALEH Mohd Zamri | 58 |
| 45 | JANG Chan Jae | 64 |
| 50 | DE JONGE Maarten | 65 |
| 51 | MAT AMIN Mohd Shahrul | 54 |
| 55 | MIRZA Yousif | 60 |
| 62 | MINATO Ryo | 62 |
| 63 | NAKANE Hideto | 55 |