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 + 71
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Culey
1
69 kgWatanabe
3
65 kgOthman
4
57 kgMohd Zariff
6
63 kgNiquet-Olden
8
75 kgZulkefli
16
62 kgZulkifli
17
65 kgOkamoto
19
65 kgHuskens
22
60 kgAzman
27
57 kgSaleh
29
70 kgSaleh
35
58 kgAhmad
36
66 kgCahyadi
39
52 kgSumiyoshi
42
56 kgHamdan
51
66 kgZakaria
56
59 kgJurado
62
68 kg
1
69 kgWatanabe
3
65 kgOthman
4
57 kgMohd Zariff
6
63 kgNiquet-Olden
8
75 kgZulkefli
16
62 kgZulkifli
17
65 kgOkamoto
19
65 kgHuskens
22
60 kgAzman
27
57 kgSaleh
29
70 kgSaleh
35
58 kgAhmad
36
66 kgCahyadi
39
52 kgSumiyoshi
42
56 kgHamdan
51
66 kgZakaria
56
59 kgJurado
62
68 kg
Weight (KG) →
Result →
75
52
1
62
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CULEY Marcus | 69 |
| 3 | WATANABE Shotaro | 65 |
| 4 | OTHMAN Muhamad Afiq Husaine | 57 |
| 6 | MOHD ZARIFF Muhammad Nur Aiman | 63 |
| 8 | NIQUET-OLDEN Bentley | 75 |
| 16 | ZULKEFLI Azlina Najmi | 62 |
| 17 | ZULKIFLI Nik Mohamad Azman | 65 |
| 19 | OKAMOTO Hayato | 65 |
| 22 | HUSKENS Kevin | 60 |
| 27 | AZMAN Muhamad Zawawi | 57 |
| 29 | SALEH Mohd Harrif | 70 |
| 35 | SALEH Mohd Zamri | 58 |
| 36 | AHMAD Muhammad Ameer | 66 |
| 39 | CAHYADI Aiman | 52 |
| 42 | SUMIYOSHI Kota | 56 |
| 51 | HAMDAN Wan Abdul Rahman | 66 |
| 56 | ZAKARIA Akmal Hakim | 59 |
| 62 | JURADO Christofer Robín | 68 |