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 * weight + 19
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Meijers
1
68 kgGoh
2
54 kgNur Hasan
5
65 kgCahyadi
6
52 kgYokotsuka
7
70 kgMisbah
9
56 kgFelipe
11
58 kgHibatulah
13
55 kgNovardianto
14
69 kgGaledo
15
58 kgCarcueva
16
51 kgNieto
19
58 kgSaleh
22
58 kgCamingao
23
55 kgMorales
24
59 kgCariño
27
56 kgUchima
30
63 kgGrospe
32
54 kgPareja
33
52 kgCoyle
36
74 kgHatanaka
37
72 kgSai-udomsin
43
60 kgMat Amin
46
54 kg
1
68 kgGoh
2
54 kgNur Hasan
5
65 kgCahyadi
6
52 kgYokotsuka
7
70 kgMisbah
9
56 kgFelipe
11
58 kgHibatulah
13
55 kgNovardianto
14
69 kgGaledo
15
58 kgCarcueva
16
51 kgNieto
19
58 kgSaleh
22
58 kgCamingao
23
55 kgMorales
24
59 kgCariño
27
56 kgUchima
30
63 kgGrospe
32
54 kgPareja
33
52 kgCoyle
36
74 kgHatanaka
37
72 kgSai-udomsin
43
60 kgMat Amin
46
54 kg
Weight (KG) →
Result →
74
51
1
46
# | Rider | Weight (KG) |
---|---|---|
1 | MEIJERS Jeroen | 68 |
2 | GOH Choon Huat | 54 |
5 | NUR HASAN Sandy | 65 |
6 | CAHYADI Aiman | 52 |
7 | YOKOTSUKA Kohei | 70 |
9 | MISBAH Muhsin Al Redha | 56 |
11 | FELIPE Marcelo | 58 |
13 | HIBATULAH Jamal | 55 |
14 | NOVARDIANTO Jamalidin | 69 |
15 | GALEDO Mark John Lexer | 58 |
16 | CARCUEVA Jonel | 51 |
19 | NIETO Edgar | 58 |
22 | SALEH Mohd Zamri | 58 |
23 | CAMINGAO John Mark | 55 |
24 | MORALES Jan Paul Montealegre | 59 |
27 | CARIÑO Daniel Ven | 56 |
30 | UCHIMA Kohei | 63 |
32 | GROSPE Ismael Jr. | 54 |
33 | PAREJA Nichol Blanca | 52 |
36 | COYLE Jesse | 74 |
37 | HATANAKA Yusuke | 72 |
43 | SAI-UDOMSIN Phuchong | 60 |
46 | MAT AMIN Mohd Shahrul | 54 |