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 = -0.6 * weight + 69
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Culey
1
69 kgOthman
4
57 kgWatanabe
6
65 kgMohd Zariff
7
63 kgSainbayar
8
60 kgNiquet-Olden
10
75 kgSaleh
13
70 kgZulkefli
22
62 kgSaleh
26
58 kgOkamoto
29
65 kgHuskens
31
60 kgSumiyoshi
35
56 kgAhmad
36
66 kgAzman
37
57 kgZulkifli
38
65 kgHamdan
39
66 kgJurado
46
68 kgZakaria
55
59 kgCahyadi
70
52 kgLakasek
81
71 kg
1
69 kgOthman
4
57 kgWatanabe
6
65 kgMohd Zariff
7
63 kgSainbayar
8
60 kgNiquet-Olden
10
75 kgSaleh
13
70 kgZulkefli
22
62 kgSaleh
26
58 kgOkamoto
29
65 kgHuskens
31
60 kgSumiyoshi
35
56 kgAhmad
36
66 kgAzman
37
57 kgZulkifli
38
65 kgHamdan
39
66 kgJurado
46
68 kgZakaria
55
59 kgCahyadi
70
52 kgLakasek
81
71 kg
Weight (KG) →
Result →
75
52
1
81
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CULEY Marcus | 69 |
| 4 | OTHMAN Muhamad Afiq Husaine | 57 |
| 6 | WATANABE Shotaro | 65 |
| 7 | MOHD ZARIFF Muhammad Nur Aiman | 63 |
| 8 | SAINBAYAR Jambaljamts | 60 |
| 10 | NIQUET-OLDEN Bentley | 75 |
| 13 | SALEH Mohd Harrif | 70 |
| 22 | ZULKEFLI Azlina Najmi | 62 |
| 26 | SALEH Mohd Zamri | 58 |
| 29 | OKAMOTO Hayato | 65 |
| 31 | HUSKENS Kevin | 60 |
| 35 | SUMIYOSHI Kota | 56 |
| 36 | AHMAD Muhammad Ameer | 66 |
| 37 | AZMAN Muhamad Zawawi | 57 |
| 38 | ZULKIFLI Nik Mohamad Azman | 65 |
| 39 | HAMDAN Wan Abdul Rahman | 66 |
| 46 | JURADO Christofer Robín | 68 |
| 55 | ZAKARIA Akmal Hakim | 59 |
| 70 | CAHYADI Aiman | 52 |
| 81 | LAKASEK Irwandie | 71 |