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 + 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Whitehouse
3
58 kgHibatulah
4
55 kgCahyadi
5
52 kgMonsalve
9
62 kgBoonratanathanakorn
10
72 kgChawchiangkwang
12
64 kgFelipe
14
58 kgGoh
15
54 kgVolkers
17
67 kgSai-udomsin
20
60 kgNieto
22
58 kgSafarzadeh
26
66 kgMazuki
29
57 kgAzman
32
57 kgMat Amin
34
54 kgLiphongyu
36
61 kgMohd Zariff
37
63 kgGaledo
38
58 kgAbdurrahman
40
56 kgNovardianto
42
69 kg
3
58 kgHibatulah
4
55 kgCahyadi
5
52 kgMonsalve
9
62 kgBoonratanathanakorn
10
72 kgChawchiangkwang
12
64 kgFelipe
14
58 kgGoh
15
54 kgVolkers
17
67 kgSai-udomsin
20
60 kgNieto
22
58 kgSafarzadeh
26
66 kgMazuki
29
57 kgAzman
32
57 kgMat Amin
34
54 kgLiphongyu
36
61 kgMohd Zariff
37
63 kgGaledo
38
58 kgAbdurrahman
40
56 kgNovardianto
42
69 kg
Weight (KG) →
Result →
72
52
3
42
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | WHITEHOUSE Daniel | 58 |
| 4 | HIBATULAH Jamal | 55 |
| 5 | CAHYADI Aiman | 52 |
| 9 | MONSALVE Yonathan | 62 |
| 10 | BOONRATANATHANAKORN Turakit | 72 |
| 12 | CHAWCHIANGKWANG Peerapol | 64 |
| 14 | FELIPE Marcelo | 58 |
| 15 | GOH Choon Huat | 54 |
| 17 | VOLKERS Samuel | 67 |
| 20 | SAI-UDOMSIN Phuchong | 60 |
| 22 | NIETO Edgar | 58 |
| 26 | SAFARZADEH Saeid | 66 |
| 29 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 32 | AZMAN Muhamad Zawawi | 57 |
| 34 | MAT AMIN Mohd Shahrul | 54 |
| 36 | LIPHONGYU Navuti | 61 |
| 37 | MOHD ZARIFF Muhammad Nur Aiman | 63 |
| 38 | GALEDO Mark John Lexer | 58 |
| 40 | ABDURRAHMAN Muhammad | 56 |
| 42 | NOVARDIANTO Jamalidin | 69 |