Significant factors influencing the rate of cigarettes burn
Background: Tobacco is the green leaf that was grown in warm climates. However, cigarette is the most common method of consuming tobacco and contains many different chemicals. Cigarette smoking was such a strong addition that was very difficult to break. Therefore, a study is constructed to deter...
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| Main Author: | |
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| Format: | Academic Exercise |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/18540/1/Significant%20factors%20influencing%20the%20rate.pdf https://eprints.ums.edu.my/id/eprint/18540/ |
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| Summary: | Background: Tobacco is the green leaf that was grown in warm climates. However,
cigarette is the most common method of consuming tobacco and contains many
different chemicals. Cigarette smoking was such a strong addition that was very
difficult to break. Therefore, a study is constructed to determine which chemical
constituents in tobacco leaf had a most significant influence on the rate of cigarettes
burn.
Main Methods: The multiple regression analysis was introduced in this study,
because the dependent variable was single quantitative dependent variable.
Preliminary, the data was filtered by running through the factor analysis and data
transformation. The filtered data then was divided into three partitions: model building
approach, verification by using MAPE and estimating the missing values. To obtain
the best model, in estimating the 4 phases would be carried out in model building
procedure, where NPC test, multicollinearity test based on VIF test and coefficient
test would be carried out in Phase2.
Main Findings: Eight selection criteria test had been explored and introduced in the
process of getting the best model, where the best model is found when it satisfied all
of the minimum values of the eight selection criteria. From the best model, there
were 3 variables emerged which had been included one single independent variable
of calcium and two first-order interaction variables such as, calcium interact with
potassium and chlorine interact with potassium. Moreover, based on the result in
second partition, P2, the MAPE value for the best model is 7.73%.
Conclusion: Calcium, potassium and chlorine were found to be the most significant
factors in estimating the rate of cigarettes burn. While, the estimation efficiency
(MAPE) results tend to signify that model is accepted. |
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