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 = -0.6 * weight + 82
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Sai-udomsin
4
60 kgPeng
8
65 kgEarle
18
70 kgJawad
24
58 kgCrawford
26
59 kgFelipe
27
58 kgSohrabi
30
69 kgZulkifli
31
65 kgGaledo
36
58 kgWijaya
38
58 kgEbsen
39
58 kgGoh
41
54 kgMizbani
45
67 kgOranza
50
67 kgHuang
51
55 kgAskari
53
73 kgPriya Prasetya
57
62 kgSaleh
62
58 kgMat Amin
63
54 kgCariño
69
54 kgIrawan
90
51 kgSaleh
95
70 kg
4
60 kgPeng
8
65 kgEarle
18
70 kgJawad
24
58 kgCrawford
26
59 kgFelipe
27
58 kgSohrabi
30
69 kgZulkifli
31
65 kgGaledo
36
58 kgWijaya
38
58 kgEbsen
39
58 kgGoh
41
54 kgMizbani
45
67 kgOranza
50
67 kgHuang
51
55 kgAskari
53
73 kgPriya Prasetya
57
62 kgSaleh
62
58 kgMat Amin
63
54 kgCariño
69
54 kgIrawan
90
51 kgSaleh
95
70 kg
Weight (KG) →
Result →
73
51
4
95
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SAI-UDOMSIN Phuchong | 60 |
| 8 | PENG Yuan Tang | 65 |
| 18 | EARLE Nathan | 70 |
| 24 | JAWAD Mansoor | 58 |
| 26 | CRAWFORD Jai | 59 |
| 27 | FELIPE Marcelo | 58 |
| 30 | SOHRABI Mehdi | 69 |
| 31 | ZULKIFLI Nik Mohamad Azman | 65 |
| 36 | GALEDO Mark John Lexer | 58 |
| 38 | WIJAYA Endra | 58 |
| 39 | EBSEN John | 58 |
| 41 | GOH Choon Huat | 54 |
| 45 | MIZBANI Ghader | 67 |
| 50 | ORANZA Ronald | 67 |
| 51 | HUANG Wen Chung | 55 |
| 53 | ASKARI Hossein | 73 |
| 57 | PRIYA PRASETYA Heksa | 62 |
| 62 | SALEH Mohd Zamri | 58 |
| 63 | MAT AMIN Mohd Shahrul | 54 |
| 69 | CARIÑO El Joshua | 54 |
| 90 | IRAWAN Jefri | 51 |
| 95 | SALEH Mohd Harrif | 70 |