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 = -0.1 * weight + 41
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Mirza
2
60 kgGoh
5
54 kgSeo
11
66 kgJang
16
64 kgFelipe
18
58 kgde Jonge
19
65 kgAlizadeh
20
62 kgEbsen
21
58 kgToribio
23
64 kgPhounsavath
25
67 kgGaledo
31
58 kgPark
32
73 kgBat-Erdene
39
73 kgBaasankhuu
40
62 kgSaleh
41
58 kgSafarzadeh
44
66 kgOconer
47
59 kgDoi
48
58 kgNishitani
52
62 kgNakane
54
55 kgNovardianto
62
69 kgMat Amin
66
54 kgMinato
68
62 kg
2
60 kgGoh
5
54 kgSeo
11
66 kgJang
16
64 kgFelipe
18
58 kgde Jonge
19
65 kgAlizadeh
20
62 kgEbsen
21
58 kgToribio
23
64 kgPhounsavath
25
67 kgGaledo
31
58 kgPark
32
73 kgBat-Erdene
39
73 kgBaasankhuu
40
62 kgSaleh
41
58 kgSafarzadeh
44
66 kgOconer
47
59 kgDoi
48
58 kgNishitani
52
62 kgNakane
54
55 kgNovardianto
62
69 kgMat Amin
66
54 kgMinato
68
62 kg
Weight (KG) →
Result →
73
54
2
68
# | Rider | Weight (KG) |
---|---|---|
2 | MIRZA Yousif | 60 |
5 | GOH Choon Huat | 54 |
11 | SEO Joon Yong | 66 |
16 | JANG Chan Jae | 64 |
18 | FELIPE Marcelo | 58 |
19 | DE JONGE Maarten | 65 |
20 | ALIZADEH Hossein | 62 |
21 | EBSEN John | 58 |
23 | TORIBIO José Vicente | 64 |
25 | PHOUNSAVATH Ariya | 67 |
31 | GALEDO Mark John Lexer | 58 |
32 | PARK Sung Baek | 73 |
39 | BAT-ERDENE Narankhuu | 73 |
40 | BAASANKHUU Myagmarsuren | 62 |
41 | SALEH Mohd Zamri | 58 |
44 | SAFARZADEH Saeid | 66 |
47 | OCONER George | 59 |
48 | DOI Yukihiro | 58 |
52 | NISHITANI Taiji | 62 |
54 | NAKANE Hideto | 55 |
62 | NOVARDIANTO Jamalidin | 69 |
66 | MAT AMIN Mohd Shahrul | 54 |
68 | MINATO Ryo | 62 |