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 = 1.2 * weight - 39
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Eyob
1
61 kgMirza
2
60 kgGoh
3
54 kgManulang
5
59 kgCahyadi
6
52 kgKoishi
7
62 kgChoe
14
63 kgIrawan
22
51 kgYudha
26
51.5 kgAzman
29
57 kgNovardianto
34
69 kgWijaya
40
58 kgAso
47
67 kgTokuda
49
65 kgMat Amin
59
54 kgMazuki
60
57 kgMonier
63
75 kgAbdurrahman
65
56 kgOkamoto
67
65 kg
1
61 kgMirza
2
60 kgGoh
3
54 kgManulang
5
59 kgCahyadi
6
52 kgKoishi
7
62 kgChoe
14
63 kgIrawan
22
51 kgYudha
26
51.5 kgAzman
29
57 kgNovardianto
34
69 kgWijaya
40
58 kgAso
47
67 kgTokuda
49
65 kgMat Amin
59
54 kgMazuki
60
57 kgMonier
63
75 kgAbdurrahman
65
56 kgOkamoto
67
65 kg
Weight (KG) →
Result →
75
51
1
67
# | Rider | Weight (KG) |
---|---|---|
1 | EYOB Metkel | 61 |
2 | MIRZA Yousif | 60 |
3 | GOH Choon Huat | 54 |
5 | MANULANG Robin | 59 |
6 | CAHYADI Aiman | 52 |
7 | KOISHI Yuma | 62 |
14 | CHOE Hyeong Min | 63 |
22 | IRAWAN Jefri | 51 |
26 | YUDHA Muhammad | 51.5 |
29 | AZMAN Muhamad Zawawi | 57 |
34 | NOVARDIANTO Jamalidin | 69 |
40 | WIJAYA Endra | 58 |
47 | ASO Keisuke | 67 |
49 | TOKUDA Suguru | 65 |
59 | MAT AMIN Mohd Shahrul | 54 |
60 | MAZUKI Nur Amirul Fakhruddin | 57 |
63 | MONIER Damien | 75 |
65 | ABDURRAHMAN Muhammad | 56 |
67 | OKAMOTO Hayato | 65 |