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 + 56
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Saleh
1
70 kgSaleh
2
58 kgMohd Zariff
5
63 kgSumiyoshi
8
56 kgHamdan
10
66 kgAhmad
11
66 kgCuley
12
69 kgWatanabe
14
65 kgOthman
20
57 kgOkamoto
25
65 kgZakaria
26
59 kgNiquet-Olden
30
75 kgZulkifli
39
65 kgZulkefli
43
62 kgHuskens
46
60 kgAzman
48
57 kgCahyadi
49
52 kgJurado
66
68 kg
1
70 kgSaleh
2
58 kgMohd Zariff
5
63 kgSumiyoshi
8
56 kgHamdan
10
66 kgAhmad
11
66 kgCuley
12
69 kgWatanabe
14
65 kgOthman
20
57 kgOkamoto
25
65 kgZakaria
26
59 kgNiquet-Olden
30
75 kgZulkifli
39
65 kgZulkefli
43
62 kgHuskens
46
60 kgAzman
48
57 kgCahyadi
49
52 kgJurado
66
68 kg
Weight (KG) →
Result →
75
52
1
66
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SALEH Mohd Harrif | 70 |
| 2 | SALEH Mohd Zamri | 58 |
| 5 | MOHD ZARIFF Muhammad Nur Aiman | 63 |
| 8 | SUMIYOSHI Kota | 56 |
| 10 | HAMDAN Wan Abdul Rahman | 66 |
| 11 | AHMAD Muhammad Ameer | 66 |
| 12 | CULEY Marcus | 69 |
| 14 | WATANABE Shotaro | 65 |
| 20 | OTHMAN Muhamad Afiq Husaine | 57 |
| 25 | OKAMOTO Hayato | 65 |
| 26 | ZAKARIA Akmal Hakim | 59 |
| 30 | NIQUET-OLDEN Bentley | 75 |
| 39 | ZULKIFLI Nik Mohamad Azman | 65 |
| 43 | ZULKEFLI Azlina Najmi | 62 |
| 46 | HUSKENS Kevin | 60 |
| 48 | AZMAN Muhamad Zawawi | 57 |
| 49 | CAHYADI Aiman | 52 |
| 66 | JURADO Christofer Robín | 68 |