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 = -0.5 * weight + 58
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Culey
1
69 kgWatanabe
3
65 kgOthman
4
57 kgMohd Zariff
6
63 kgNiquet-Olden
7
75 kgZulkefli
17
62 kgOkamoto
18
65 kgAzman
21
57 kgHuskens
23
60 kgZulkifli
25
65 kgAhmad
30
66 kgSaleh
31
70 kgCahyadi
32
52 kgSaleh
34
58 kgSumiyoshi
36
56 kgHamdan
47
66 kgJurado
51
68 kgZakaria
52
59 kg
1
69 kgWatanabe
3
65 kgOthman
4
57 kgMohd Zariff
6
63 kgNiquet-Olden
7
75 kgZulkefli
17
62 kgOkamoto
18
65 kgAzman
21
57 kgHuskens
23
60 kgZulkifli
25
65 kgAhmad
30
66 kgSaleh
31
70 kgCahyadi
32
52 kgSaleh
34
58 kgSumiyoshi
36
56 kgHamdan
47
66 kgJurado
51
68 kgZakaria
52
59 kg
Weight (KG) →
Result →
75
52
1
52
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CULEY Marcus | 69 |
| 3 | WATANABE Shotaro | 65 |
| 4 | OTHMAN Muhamad Afiq Husaine | 57 |
| 6 | MOHD ZARIFF Muhammad Nur Aiman | 63 |
| 7 | NIQUET-OLDEN Bentley | 75 |
| 17 | ZULKEFLI Azlina Najmi | 62 |
| 18 | OKAMOTO Hayato | 65 |
| 21 | AZMAN Muhamad Zawawi | 57 |
| 23 | HUSKENS Kevin | 60 |
| 25 | ZULKIFLI Nik Mohamad Azman | 65 |
| 30 | AHMAD Muhammad Ameer | 66 |
| 31 | SALEH Mohd Harrif | 70 |
| 32 | CAHYADI Aiman | 52 |
| 34 | SALEH Mohd Zamri | 58 |
| 36 | SUMIYOSHI Kota | 56 |
| 47 | HAMDAN Wan Abdul Rahman | 66 |
| 51 | JURADO Christofer Robín | 68 |
| 52 | ZAKARIA Akmal Hakim | 59 |