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 = -0.9 * weight + 88
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Culey
1
69 kgJurado
2
68 kgWatanabe
3
65 kgOthman
6
57 kgCahyadi
7
52 kgMohd Zariff
8
63 kgNiquet-Olden
9
75 kgZulkefli
13
62 kgHamdan
23
66 kgSumiyoshi
26
56 kgOkamoto
30
65 kgZakaria
56
59 kgSaleh
58
70 kgAhmad
59
66 kgSaleh
63
58 kgHuskens
67
60 kgZulkifli
79
65 kgAzman
81
57 kg
1
69 kgJurado
2
68 kgWatanabe
3
65 kgOthman
6
57 kgCahyadi
7
52 kgMohd Zariff
8
63 kgNiquet-Olden
9
75 kgZulkefli
13
62 kgHamdan
23
66 kgSumiyoshi
26
56 kgOkamoto
30
65 kgZakaria
56
59 kgSaleh
58
70 kgAhmad
59
66 kgSaleh
63
58 kgHuskens
67
60 kgZulkifli
79
65 kgAzman
81
57 kg
Weight (KG) →
Result →
75
52
1
81
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CULEY Marcus | 69 |
| 2 | JURADO Christofer Robín | 68 |
| 3 | WATANABE Shotaro | 65 |
| 6 | OTHMAN Muhamad Afiq Husaine | 57 |
| 7 | CAHYADI Aiman | 52 |
| 8 | MOHD ZARIFF Muhammad Nur Aiman | 63 |
| 9 | NIQUET-OLDEN Bentley | 75 |
| 13 | ZULKEFLI Azlina Najmi | 62 |
| 23 | HAMDAN Wan Abdul Rahman | 66 |
| 26 | SUMIYOSHI Kota | 56 |
| 30 | OKAMOTO Hayato | 65 |
| 56 | ZAKARIA Akmal Hakim | 59 |
| 58 | SALEH Mohd Harrif | 70 |
| 59 | AHMAD Muhammad Ameer | 66 |
| 63 | SALEH Mohd Zamri | 58 |
| 67 | HUSKENS Kevin | 60 |
| 79 | ZULKIFLI Nik Mohamad Azman | 65 |
| 81 | AZMAN Muhamad Zawawi | 57 |