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 = 0.3 * weight + 15
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Mizbani
1
67 kgEarle
4
70 kgAskari
5
73 kgCrawford
6
59 kgEbsen
7
58 kgGaledo
10
58 kgMat Amin
22
54 kgFelipe
23
58 kgWijaya
28
58 kgIrawan
29
51 kgGoh
31
54 kgJawad
34
58 kgCariño
35
54 kgOranza
44
67 kgHuang
47
55 kgPeng
50
65 kgZulkifli
52
65 kgSai-udomsin
55
60 kgSohrabi
65
69 kgSaleh
78
58 kgSaleh
81
70 kgPriya Prasetya
93
62 kg
1
67 kgEarle
4
70 kgAskari
5
73 kgCrawford
6
59 kgEbsen
7
58 kgGaledo
10
58 kgMat Amin
22
54 kgFelipe
23
58 kgWijaya
28
58 kgIrawan
29
51 kgGoh
31
54 kgJawad
34
58 kgCariño
35
54 kgOranza
44
67 kgHuang
47
55 kgPeng
50
65 kgZulkifli
52
65 kgSai-udomsin
55
60 kgSohrabi
65
69 kgSaleh
78
58 kgSaleh
81
70 kgPriya Prasetya
93
62 kg
Weight (KG) →
Result →
73
51
1
93
# | Rider | Weight (KG) |
---|---|---|
1 | MIZBANI Ghader | 67 |
4 | EARLE Nathan | 70 |
5 | ASKARI Hossein | 73 |
6 | CRAWFORD Jai | 59 |
7 | EBSEN John | 58 |
10 | GALEDO Mark John Lexer | 58 |
22 | MAT AMIN Mohd Shahrul | 54 |
23 | FELIPE Marcelo | 58 |
28 | WIJAYA Endra | 58 |
29 | IRAWAN Jefri | 51 |
31 | GOH Choon Huat | 54 |
34 | JAWAD Mansoor | 58 |
35 | CARIÑO El Joshua | 54 |
44 | ORANZA Ronald | 67 |
47 | HUANG Wen Chung | 55 |
50 | PENG Yuan Tang | 65 |
52 | ZULKIFLI Nik Mohamad Azman | 65 |
55 | SAI-UDOMSIN Phuchong | 60 |
65 | SOHRABI Mehdi | 69 |
78 | SALEH Mohd Zamri | 58 |
81 | SALEH Mohd Harrif | 70 |
93 | PRIYA PRASETYA Heksa | 62 |