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 = -0.3 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Culey
1
69 kgWatanabe
2
65 kgNiquet-Olden
5
75 kgZulkifli
6
65 kgCahyadi
7
52 kgOkamoto
8
65 kgHuskens
23
60 kgOthman
24
57 kgZulkefli
27
62 kgAzman
30
57 kgMohd Zariff
31
63 kgAhmad
36
66 kgSaleh
41
58 kgSaleh
43
70 kgSumiyoshi
55
56 kgZakaria
61
59 kgHamdan
67
66 kgJurado
79
68 kg
1
69 kgWatanabe
2
65 kgNiquet-Olden
5
75 kgZulkifli
6
65 kgCahyadi
7
52 kgOkamoto
8
65 kgHuskens
23
60 kgOthman
24
57 kgZulkefli
27
62 kgAzman
30
57 kgMohd Zariff
31
63 kgAhmad
36
66 kgSaleh
41
58 kgSaleh
43
70 kgSumiyoshi
55
56 kgZakaria
61
59 kgHamdan
67
66 kgJurado
79
68 kg
Weight (KG) →
Result →
75
52
1
79
# | Rider | Weight (KG) |
---|---|---|
1 | CULEY Marcus | 69 |
2 | WATANABE Shotaro | 65 |
5 | NIQUET-OLDEN Bentley | 75 |
6 | ZULKIFLI Nik Mohamad Azman | 65 |
7 | CAHYADI Aiman | 52 |
8 | OKAMOTO Hayato | 65 |
23 | HUSKENS Kevin | 60 |
24 | OTHMAN Muhamad Afiq Husaine | 57 |
27 | ZULKEFLI Azlina Najmi | 62 |
30 | AZMAN Muhamad Zawawi | 57 |
31 | MOHD ZARIFF Muhammad Nur Aiman | 63 |
36 | AHMAD Muhammad Ameer | 66 |
41 | SALEH Mohd Zamri | 58 |
43 | SALEH Mohd Harrif | 70 |
55 | SUMIYOSHI Kota | 56 |
61 | ZAKARIA Akmal Hakim | 59 |
67 | HAMDAN Wan Abdul Rahman | 66 |
79 | JURADO Christofer Robín | 68 |