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 + 31
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Whitehouse
5
58 kgMonsalve
8
62 kgBoonratanathanakorn
9
72 kgAbdurrahman
10
56 kgFelipe
13
58 kgChawchiangkwang
14
64 kgMat Amin
15
54 kgSafarzadeh
20
66 kgHibatulah
24
55 kgMisbah
27
56 kgNieto
28
58 kgGaledo
29
58 kgNovardianto
30
69 kgCahyadi
31
52 kgMazuki
32
57 kgPhounsavath
34
67 kg
5
58 kgMonsalve
8
62 kgBoonratanathanakorn
9
72 kgAbdurrahman
10
56 kgFelipe
13
58 kgChawchiangkwang
14
64 kgMat Amin
15
54 kgSafarzadeh
20
66 kgHibatulah
24
55 kgMisbah
27
56 kgNieto
28
58 kgGaledo
29
58 kgNovardianto
30
69 kgCahyadi
31
52 kgMazuki
32
57 kgPhounsavath
34
67 kg
Weight (KG) →
Result →
72
52
5
34
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | WHITEHOUSE Daniel | 58 |
| 8 | MONSALVE Yonathan | 62 |
| 9 | BOONRATANATHANAKORN Turakit | 72 |
| 10 | ABDURRAHMAN Muhammad | 56 |
| 13 | FELIPE Marcelo | 58 |
| 14 | CHAWCHIANGKWANG Peerapol | 64 |
| 15 | MAT AMIN Mohd Shahrul | 54 |
| 20 | SAFARZADEH Saeid | 66 |
| 24 | HIBATULAH Jamal | 55 |
| 27 | MISBAH Muhsin Al Redha | 56 |
| 28 | NIETO Edgar | 58 |
| 29 | GALEDO Mark John Lexer | 58 |
| 30 | NOVARDIANTO Jamalidin | 69 |
| 31 | CAHYADI Aiman | 52 |
| 32 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 34 | PHOUNSAVATH Ariya | 67 |