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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| Format: | Academic Exercise |
| Language: | English |
| Published: |
2015
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| Online Access: | https://eprints.ums.edu.my/id/eprint/18540/1/Significant%20factors%20influencing%20the%20rate.pdf |
| _version_ | 1825713248417087488 |
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| author | Chew, Peng |
| author_facet | Chew, Peng |
| author_sort | Chew, Peng |
| collection | UMS |
| description | 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. |
| first_indexed | 2024-03-06T02:53:36Z |
| format | Academic Exercise |
| id | ums.eprints-18540 |
| institution | Universiti Malaysia Sabah |
| language | English |
| last_indexed | 2024-03-06T02:53:36Z |
| publishDate | 2015 |
| record_format | dspace |
| spelling | ums.eprints-185402018-02-03T13:52:13Z https://eprints.ums.edu.my/id/eprint/18540/ Significant factors influencing the rate of cigarettes burn Chew, Peng QA Mathematics SB Plant culture 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. 2015 Academic Exercise NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/18540/1/Significant%20factors%20influencing%20the%20rate.pdf Chew, Peng (2015) Significant factors influencing the rate of cigarettes burn. Universiti Malaysia Sabah. (Unpublished) |
| spellingShingle | QA Mathematics SB Plant culture Chew, Peng Significant factors influencing the rate of cigarettes burn |
| title | Significant factors influencing the rate of cigarettes burn |
| title_full | Significant factors influencing the rate of cigarettes burn |
| title_fullStr | Significant factors influencing the rate of cigarettes burn |
| title_full_unstemmed | Significant factors influencing the rate of cigarettes burn |
| title_short | Significant factors influencing the rate of cigarettes burn |
| title_sort | significant factors influencing the rate of cigarettes burn |
| topic | QA Mathematics SB Plant culture |
| url | https://eprints.ums.edu.my/id/eprint/18540/1/Significant%20factors%20influencing%20the%20rate.pdf |
| work_keys_str_mv | AT chewpeng significantfactorsinfluencingtherateofcigarettesburn |