Statistical approach for modeling Malaysia's gross domestic product
This study investigates factors which affect Malaysia’s gross domestic product. Stepwise regression has been used to construct the appropriate model. The model is constructed by splitting the data into model building set and validation set. The data splitting shows that the regression model is val...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
IDOSI Publications
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/30318/1/Statistical%20approach%20for%20modeling%20Malaysia.pdf http://psasir.upm.edu.my/id/eprint/30318/ http://www.idosi.org/mejsr/mejsr15(4)13.htm |
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| Summary: | This study investigates factors which affect Malaysia’s gross domestic product. Stepwise regression
has been used to construct the appropriate model. The model is constructed by splitting the data into model
building set and validation set. The data splitting shows that the regression model is valid. After the process
performing to determine the appropriate regression model, the variables private consumption, exports of goods
and services and interest rate have significant contribution to Malaysia’s GDP. |
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