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 = -1.5 * weight + 137
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
Sohrabi
1
69 kgSaleh
4
58 kgSaleh
8
70 kgPriya Prasetya
10
62 kgSai-udomsin
25
60 kgCariño
28
54 kgPeng
30
65 kgGoh
31
54 kgEarle
36
70 kgZulkifli
38
65 kgCrawford
42
59 kgWijaya
46
58 kgAskari
55
73 kgJawad
59
58 kgIrawan
60
51 kgOranza
65
67 kgFelipe
67
58 kgMizbani
69
67 kgEbsen
73
58 kgHuang
84
55 kgGaledo
90
58 kgMat Amin
96
54 kg
1
69 kgSaleh
4
58 kgSaleh
8
70 kgPriya Prasetya
10
62 kgSai-udomsin
25
60 kgCariño
28
54 kgPeng
30
65 kgGoh
31
54 kgEarle
36
70 kgZulkifli
38
65 kgCrawford
42
59 kgWijaya
46
58 kgAskari
55
73 kgJawad
59
58 kgIrawan
60
51 kgOranza
65
67 kgFelipe
67
58 kgMizbani
69
67 kgEbsen
73
58 kgHuang
84
55 kgGaledo
90
58 kgMat Amin
96
54 kg
Weight (KG) →
Result →
73
51
1
96
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOHRABI Mehdi | 69 |
| 4 | SALEH Mohd Zamri | 58 |
| 8 | SALEH Mohd Harrif | 70 |
| 10 | PRIYA PRASETYA Heksa | 62 |
| 25 | SAI-UDOMSIN Phuchong | 60 |
| 28 | CARIÑO El Joshua | 54 |
| 30 | PENG Yuan Tang | 65 |
| 31 | GOH Choon Huat | 54 |
| 36 | EARLE Nathan | 70 |
| 38 | ZULKIFLI Nik Mohamad Azman | 65 |
| 42 | CRAWFORD Jai | 59 |
| 46 | WIJAYA Endra | 58 |
| 55 | ASKARI Hossein | 73 |
| 59 | JAWAD Mansoor | 58 |
| 60 | IRAWAN Jefri | 51 |
| 65 | ORANZA Ronald | 67 |
| 67 | FELIPE Marcelo | 58 |
| 69 | MIZBANI Ghader | 67 |
| 73 | EBSEN John | 58 |
| 84 | HUANG Wen Chung | 55 |
| 90 | GALEDO Mark John Lexer | 58 |
| 96 | MAT AMIN Mohd Shahrul | 54 |