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 = -0.7 * weight + 76
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Culey
1
69 kgOthman
4
57 kgWatanabe
6
65 kgMohd Zariff
7
63 kgSainbayar
8
60 kgSaleh
10
70 kgNiquet-Olden
12
75 kgZulkefli
22
62 kgSaleh
26
58 kgOkamoto
29
65 kgHuskens
31
60 kgSumiyoshi
35
56 kgAhmad
36
66 kgZulkifli
37
65 kgHamdan
38
66 kgJurado
45
68 kgAzman
47
57 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 kgSaleh
10
70 kgNiquet-Olden
12
75 kgZulkefli
22
62 kgSaleh
26
58 kgOkamoto
29
65 kgHuskens
31
60 kgSumiyoshi
35
56 kgAhmad
36
66 kgZulkifli
37
65 kgHamdan
38
66 kgJurado
45
68 kgAzman
47
57 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 | SALEH Mohd Harrif | 70 |
12 | NIQUET-OLDEN Bentley | 75 |
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 | ZULKIFLI Nik Mohamad Azman | 65 |
38 | HAMDAN Wan Abdul Rahman | 66 |
45 | JURADO Christofer Robín | 68 |
47 | AZMAN Muhamad Zawawi | 57 |
55 | ZAKARIA Akmal Hakim | 59 |
70 | CAHYADI Aiman | 52 |
81 | LAKASEK Irwandie | 71 |