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New Index
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Item
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A Study on Production of Rubber in Myanmar (1996-97 to 2017-2018)
http://hdl.handle.net/20.500.12678/0000007159
http://hdl.handle.net/20.500.12678/00000071593271f49d-d5d1-4984-a20b-1fb0a00ed78c
0cc317e2-227a-4db0-ac6d-2ebe450ed9fc
Name / File | License | Actions |
---|---|---|
![]() |
Publication type | ||||||
---|---|---|---|---|---|---|
Journal article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | A Study on Production of Rubber in Myanmar (1996-97 to 2017-2018) | |||||
Language | en | |||||
Publication date | 2019-12-01 | |||||
Authors | ||||||
Tin Tin Mya | ||||||
Ni Ni Win | ||||||
Thinzar Aung | ||||||
Description | ||||||
The main theme of this research is to discuss the appropriate regression equation. In this study, Regression Analysis was applied to choose the appropriate regression equation for rubber production in Myanmar during the period from 1996- 97 to 2017-2018. The dependent variable is the production of rubber and the related independent variables are harvested acreage, sown acreage and raw rubber export. The appropriate model was chosen by considering the presence of multicollinearity or not. The harvested acreage and sown acreage of rubber are linearly related, so it is the nature of multicollinearity. The coefficient of sown acreage is also not significant. And then, the sown acreage of rubber must be reduced from the list of independent variable. In the chosen model. The rubber production is expressed as the function of harvested acreage and raw rubber export. According to the calculation, the estimated production of rubber was close to the actual production of rubber. Therefore, the estimated regression model can be used to predict the future production of rubber in Myanmar. | ||||||
Journal articles | ||||||
Yangon University of Distance Education Research Journal | ||||||
251-257 | ||||||
Vol.10,No.1 |
848
283
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