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 = -1.1 * weight + 108
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Sohrabi
1
69 kgGaledo
7
58 kgWijaya
9
58 kgOranza
10
67 kgSai-udomsin
16
60 kgPeng
20
65 kgZulkifli
24
65 kgEarle
28
70 kgCrawford
30
59 kgJawad
31
58 kgGoh
36
54 kgEbsen
43
58 kgAskari
44
73 kgFelipe
46
58 kgMizbani
48
67 kgHuang
51
55 kgSaleh
55
58 kgPriya Prasetya
58
62 kgMat Amin
65
54 kgCariño
70
54 kgSaleh
78
70 kgIrawan
81
51 kg
1
69 kgGaledo
7
58 kgWijaya
9
58 kgOranza
10
67 kgSai-udomsin
16
60 kgPeng
20
65 kgZulkifli
24
65 kgEarle
28
70 kgCrawford
30
59 kgJawad
31
58 kgGoh
36
54 kgEbsen
43
58 kgAskari
44
73 kgFelipe
46
58 kgMizbani
48
67 kgHuang
51
55 kgSaleh
55
58 kgPriya Prasetya
58
62 kgMat Amin
65
54 kgCariño
70
54 kgSaleh
78
70 kgIrawan
81
51 kg
Weight (KG) →
Result →
73
51
1
81
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOHRABI Mehdi | 69 |
| 7 | GALEDO Mark John Lexer | 58 |
| 9 | WIJAYA Endra | 58 |
| 10 | ORANZA Ronald | 67 |
| 16 | SAI-UDOMSIN Phuchong | 60 |
| 20 | PENG Yuan Tang | 65 |
| 24 | ZULKIFLI Nik Mohamad Azman | 65 |
| 28 | EARLE Nathan | 70 |
| 30 | CRAWFORD Jai | 59 |
| 31 | JAWAD Mansoor | 58 |
| 36 | GOH Choon Huat | 54 |
| 43 | EBSEN John | 58 |
| 44 | ASKARI Hossein | 73 |
| 46 | FELIPE Marcelo | 58 |
| 48 | MIZBANI Ghader | 67 |
| 51 | HUANG Wen Chung | 55 |
| 55 | SALEH Mohd Zamri | 58 |
| 58 | PRIYA PRASETYA Heksa | 62 |
| 65 | MAT AMIN Mohd Shahrul | 54 |
| 70 | CARIÑO El Joshua | 54 |
| 78 | SALEH Mohd Harrif | 70 |
| 81 | IRAWAN Jefri | 51 |