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 + 96
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Sohrabi
1
69 kgMazuki
4
57 kgOranza
16
67 kgMorales
17
59 kgAskari
18
73 kgMat Amin
19
54 kgNieto
20
58 kgEbsen
23
58 kgSafarzadeh
24
66 kgOconer
28
59 kgGaledo
33
58 kgMizbani
42
67 kgKolahdozhagh
43
60 kgCariño
48
54 kgGoh
51
54 kgJabrayilov
53
52 kgBaasankhuu
55
62 kg
1
69 kgMazuki
4
57 kgOranza
16
67 kgMorales
17
59 kgAskari
18
73 kgMat Amin
19
54 kgNieto
20
58 kgEbsen
23
58 kgSafarzadeh
24
66 kgOconer
28
59 kgGaledo
33
58 kgMizbani
42
67 kgKolahdozhagh
43
60 kgCariño
48
54 kgGoh
51
54 kgJabrayilov
53
52 kgBaasankhuu
55
62 kg
Weight (KG) →
Result →
73
52
1
55
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOHRABI Mehdi | 69 |
| 4 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 16 | ORANZA Ronald | 67 |
| 17 | MORALES Jan Paul Montealegre | 59 |
| 18 | ASKARI Hossein | 73 |
| 19 | MAT AMIN Mohd Shahrul | 54 |
| 20 | NIETO Edgar | 58 |
| 23 | EBSEN John | 58 |
| 24 | SAFARZADEH Saeid | 66 |
| 28 | OCONER George | 59 |
| 33 | GALEDO Mark John Lexer | 58 |
| 42 | MIZBANI Ghader | 67 |
| 43 | KOLAHDOZHAGH Amir | 60 |
| 48 | CARIÑO El Joshua | 54 |
| 51 | GOH Choon Huat | 54 |
| 53 | JABRAYILOV Samir | 52 |
| 55 | BAASANKHUU Myagmarsuren | 62 |