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 + 36
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Mazuki
1
57 kgSaleh
3
70 kgKolahdozhagh
8
60 kgAsadov
11
77 kgRaileanu
12
63 kgLooij
14
75 kgEddy Suhaidee
15
63 kgChzhan
16
71 kgBanaszek
17
75 kgJabrayilov
20
52 kgCahyadi
23
52 kgOkamoto
24
65 kgMohd Zariff
27
63 kgManulang
28
59 kgGoh
33
54 kgBoonratanathanakorn
36
72 kgAhmad
37
66 kgOvechkin
38
61 kg
1
57 kgSaleh
3
70 kgKolahdozhagh
8
60 kgAsadov
11
77 kgRaileanu
12
63 kgLooij
14
75 kgEddy Suhaidee
15
63 kgChzhan
16
71 kgBanaszek
17
75 kgJabrayilov
20
52 kgCahyadi
23
52 kgOkamoto
24
65 kgMohd Zariff
27
63 kgManulang
28
59 kgGoh
33
54 kgBoonratanathanakorn
36
72 kgAhmad
37
66 kgOvechkin
38
61 kg
Weight (KG) →
Result →
77
52
1
38
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 3 | SALEH Mohd Harrif | 70 |
| 8 | KOLAHDOZHAGH Amir | 60 |
| 11 | ASADOV Elchin | 77 |
| 12 | RAILEANU Cristian | 63 |
| 14 | LOOIJ André | 75 |
| 15 | EDDY SUHAIDEE Muhammad Danieal Haikal | 63 |
| 16 | CHZHAN Igor | 71 |
| 17 | BANASZEK Norbert | 75 |
| 20 | JABRAYILOV Samir | 52 |
| 23 | CAHYADI Aiman | 52 |
| 24 | OKAMOTO Hayato | 65 |
| 27 | MOHD ZARIFF Muhammad Nur Aiman | 63 |
| 28 | MANULANG Robin | 59 |
| 33 | GOH Choon Huat | 54 |
| 36 | BOONRATANATHANAKORN Turakit | 72 |
| 37 | AHMAD Muhammad Ameer | 66 |
| 38 | OVECHKIN Artem | 61 |