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 - 2
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Morales
2
59 kgMazuki
4
57 kgSohrabi
7
69 kgMat Amin
15
54 kgJabrayilov
16
52 kgOranza
22
67 kgGoh
24
54 kgNieto
27
58 kgSafarzadeh
28
66 kgKolahdozhagh
29
60 kgCariño
33
54 kgEbsen
34
58 kgBaasankhuu
36
62 kgAskari
38
73 kgGaledo
44
58 kgOconer
47
59 kgMizbani
49
67 kg
2
59 kgMazuki
4
57 kgSohrabi
7
69 kgMat Amin
15
54 kgJabrayilov
16
52 kgOranza
22
67 kgGoh
24
54 kgNieto
27
58 kgSafarzadeh
28
66 kgKolahdozhagh
29
60 kgCariño
33
54 kgEbsen
34
58 kgBaasankhuu
36
62 kgAskari
38
73 kgGaledo
44
58 kgOconer
47
59 kgMizbani
49
67 kg
Weight (KG) →
Result →
73
52
2
49
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MORALES Jan Paul Montealegre | 59 |
| 4 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 7 | SOHRABI Mehdi | 69 |
| 15 | MAT AMIN Mohd Shahrul | 54 |
| 16 | JABRAYILOV Samir | 52 |
| 22 | ORANZA Ronald | 67 |
| 24 | GOH Choon Huat | 54 |
| 27 | NIETO Edgar | 58 |
| 28 | SAFARZADEH Saeid | 66 |
| 29 | KOLAHDOZHAGH Amir | 60 |
| 33 | CARIÑO El Joshua | 54 |
| 34 | EBSEN John | 58 |
| 36 | BAASANKHUU Myagmarsuren | 62 |
| 38 | ASKARI Hossein | 73 |
| 44 | GALEDO Mark John Lexer | 58 |
| 47 | OCONER George | 59 |
| 49 | MIZBANI Ghader | 67 |