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 + 94
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Baasankhuu
2
62 kgSafarzadeh
7
66 kgPark
8
73 kgNishitani
9
62 kgSaleh
10
58 kgSeo
12
66 kgde Jonge
15
65 kgNovardianto
16
69 kgMirza
20
60 kgEbsen
26
58 kgMat Amin
27
54 kgAlizadeh
28
62 kgGoh
29
54 kgGaledo
32
58 kgPhounsavath
34
67 kgOconer
42
59 kgNakane
43
55 kgFelipe
45
58 kgMinato
59
62 kgJang
62
64 kg
2
62 kgSafarzadeh
7
66 kgPark
8
73 kgNishitani
9
62 kgSaleh
10
58 kgSeo
12
66 kgde Jonge
15
65 kgNovardianto
16
69 kgMirza
20
60 kgEbsen
26
58 kgMat Amin
27
54 kgAlizadeh
28
62 kgGoh
29
54 kgGaledo
32
58 kgPhounsavath
34
67 kgOconer
42
59 kgNakane
43
55 kgFelipe
45
58 kgMinato
59
62 kgJang
62
64 kg
Weight (KG) →
Result →
73
54
2
62
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BAASANKHUU Myagmarsuren | 62 |
| 7 | SAFARZADEH Saeid | 66 |
| 8 | PARK Sung Baek | 73 |
| 9 | NISHITANI Taiji | 62 |
| 10 | SALEH Mohd Zamri | 58 |
| 12 | SEO Joon Yong | 66 |
| 15 | DE JONGE Maarten | 65 |
| 16 | NOVARDIANTO Jamalidin | 69 |
| 20 | MIRZA Yousif | 60 |
| 26 | EBSEN John | 58 |
| 27 | MAT AMIN Mohd Shahrul | 54 |
| 28 | ALIZADEH Hossein | 62 |
| 29 | GOH Choon Huat | 54 |
| 32 | GALEDO Mark John Lexer | 58 |
| 34 | PHOUNSAVATH Ariya | 67 |
| 42 | OCONER George | 59 |
| 43 | NAKANE Hideto | 55 |
| 45 | FELIPE Marcelo | 58 |
| 59 | MINATO Ryo | 62 |
| 62 | JANG Chan Jae | 64 |