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 = -0.2 * weight + 43
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Mizbani
1
67 kgCoenen
2
67 kgKolahdozhagh
3
60 kgPujol
6
58 kgAskari
7
73 kgCahyadi
8
52 kgManulang
9
59 kgCamingao
17
55 kgWijaya
29
58 kgYamamoto
31
56 kgOranza
36
67 kgNovardianto
38
69 kgNieto
40
58 kgCariño
41
54 kgIrawan
57
51 kgGuardiola
58
65 kgSaleh
66
58 kgSohrabi
69
69 kg
1
67 kgCoenen
2
67 kgKolahdozhagh
3
60 kgPujol
6
58 kgAskari
7
73 kgCahyadi
8
52 kgManulang
9
59 kgCamingao
17
55 kgWijaya
29
58 kgYamamoto
31
56 kgOranza
36
67 kgNovardianto
38
69 kgNieto
40
58 kgCariño
41
54 kgIrawan
57
51 kgGuardiola
58
65 kgSaleh
66
58 kgSohrabi
69
69 kg
Weight (KG) →
Result →
73
51
1
69
# | Rider | Weight (KG) |
---|---|---|
1 | MIZBANI Ghader | 67 |
2 | COENEN Johan | 67 |
3 | KOLAHDOZHAGH Amir | 60 |
6 | PUJOL Óscar | 58 |
7 | ASKARI Hossein | 73 |
8 | CAHYADI Aiman | 52 |
9 | MANULANG Robin | 59 |
17 | CAMINGAO John Mark | 55 |
29 | WIJAYA Endra | 58 |
31 | YAMAMOTO Shun | 56 |
36 | ORANZA Ronald | 67 |
38 | NOVARDIANTO Jamalidin | 69 |
40 | NIETO Edgar | 58 |
41 | CARIÑO El Joshua | 54 |
57 | IRAWAN Jefri | 51 |
58 | GUARDIOLA Salvador | 65 |
66 | SALEH Mohd Zamri | 58 |
69 | SOHRABI Mehdi | 69 |