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 + 5
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Kolahdozhagh
1
60 kgMizbani
2
67 kgPujol
3
58 kgAskari
4
73 kgCoenen
6
67 kgManulang
9
59 kgCahyadi
12
52 kgKimura
15
61 kgCamingao
16
55 kgNieto
21
58 kgCariño
24
54 kgNovardianto
37
69 kgWijaya
38
58 kgOranza
41
67 kgYamamoto
51
56 kgIrawan
56
51 kgSaleh
75
58 kgGuardiola
83
65 kgSohrabi
84
69 kgMazuki
86
57 kgSaleh
94
70 kg
1
60 kgMizbani
2
67 kgPujol
3
58 kgAskari
4
73 kgCoenen
6
67 kgManulang
9
59 kgCahyadi
12
52 kgKimura
15
61 kgCamingao
16
55 kgNieto
21
58 kgCariño
24
54 kgNovardianto
37
69 kgWijaya
38
58 kgOranza
41
67 kgYamamoto
51
56 kgIrawan
56
51 kgSaleh
75
58 kgGuardiola
83
65 kgSohrabi
84
69 kgMazuki
86
57 kgSaleh
94
70 kg
Weight (KG) →
Result →
73
51
1
94
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOLAHDOZHAGH Amir | 60 |
| 2 | MIZBANI Ghader | 67 |
| 3 | PUJOL Óscar | 58 |
| 4 | ASKARI Hossein | 73 |
| 6 | COENEN Johan | 67 |
| 9 | MANULANG Robin | 59 |
| 12 | CAHYADI Aiman | 52 |
| 15 | KIMURA Keisuke | 61 |
| 16 | CAMINGAO John Mark | 55 |
| 21 | NIETO Edgar | 58 |
| 24 | CARIÑO El Joshua | 54 |
| 37 | NOVARDIANTO Jamalidin | 69 |
| 38 | WIJAYA Endra | 58 |
| 41 | ORANZA Ronald | 67 |
| 51 | YAMAMOTO Shun | 56 |
| 56 | IRAWAN Jefri | 51 |
| 75 | SALEH Mohd Zamri | 58 |
| 83 | GUARDIOLA Salvador | 65 |
| 84 | SOHRABI Mehdi | 69 |
| 86 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 94 | SALEH Mohd Harrif | 70 |