A Regression Analysis of Calories and Nutrients in Frozen Foods

  • Hanita Hashim
  • Hanifah Nuha Zulkifly Faculty of Education, Universiti Teknologi Mara, Puncak Alam
  • Hafizan Hashim College of Engineering, School of Mechanical Engineering, Universiti Teknologi Mara, Shah Alam
  • Siti Hawa Mohd Yusoff Faculty of Communication, Visual Art and Computing, University Selangor
  • Yati Ashikin Abdul Wahab Faculty of Communication, Visual Art and Computing, University Selangor
  • Shahida Abd Latif Faculty of Communication, Visual Art and Computing, University Selangor
  • Zuraini Ayob Faculty of Communication, Visual Art and Computing, University Selangor
Keywords: Carbohydrate, Fat, Food Label, Healthy Food, Protein

Abstract

Consumers have a high demand for frozen food products due to their convenient preparation and delicious taste. However, many seem to overlook the contents of these products. Studies have shown that consuming unhealthy and unbalanced meals can lead to an increase in Non-communicable Diseases (NCDs). The purpose of this research is to examine the correlation between calories and nutrients (protein, carbohydrate, and fat) in frozen foods, and propose a model to study this relationship. Data was collected using convenience sampling method, and the findings were analysed using correlation and regression analysis. The results showed that there was no significant correlation between calories and protein, a moderate positive correlation between calories and carbohydrate, and a strong positive correlation between calories and fat. These findings suggest a linear relationship between calories and nutrients in frozen foods, with protein, carbohydrate, and fat all contributing to the regression model. To increase awareness about health in general, experts and scholars in the field of nutrition should continue to expand their research on healthy diets over time.

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Published
2023-12-31
How to Cite
Hashim, H., Zulkifly, H. N., Hashim, H., Mohd Yusoff, S. H., Abdul Wahab, Y. A., Abd Latif, S., & Ayob, Z. (2023). A Regression Analysis of Calories and Nutrients in Frozen Foods. Selangor Science & Technology Review (SeSTeR), 7(2), PREPRINT. Retrieved from https://sester.journals.unisel.edu.my/ojs/index.php/sester/article/view/325
Issue
Vol 7 No 2 (2023): Diversity and Inclusion of Digital Technology in Business, Community and Economic Development
Section
Articles in English

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