Research on the Pet Industry Based on Multiple Linear Regression Model

The Chinese pet industry has a broad international market but also contends with complex international situations and a volatile market environment. Thus, scientifically analyzing and predicting its development trends is crucial. This paper examines recent data trends, using normality tests, correlation analysis, the entropy weight method, time series models, multiple linear regression models, and software like MATLAB, SPSS, and EXCEL to analyze and predict the industry's development and propose strategies. A visual line chart of pet market development was drawn based on data analysis to intuitively assess the situation. Normality and correlation analyses were done, yielding key results. The entropy weight method showed the comprehensive score increasing yearly, suggesting a rising market demand for pet food and related sectors. Leveraging collected data on global pet markets, an ARIMA time series model was built for future predictions. Multiple linear regression and multi-scenario analyses were also carried out, revealing an overall upward trend in the pet industry market.

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Publication Details

Journal
Mathematical Modeling and Algorithm Application
Published
2025-10-09
DOI
https://doi.org/10.54097/j9px6m69
Primary Topic
Medical Research and Treatments
Type
article
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article

Research on the Pet Industry Based on Multiple Linear Regression Model

Zhengbo Liang, Jiyan Zhang
Mathematical Modeling and Algorithm Application
Medical Research and Treatments
article

Research on the Pet Industry Based on Multiple Linear Regression Model

Zhengbo Liang, Jiyan Zhang
article en

Abstract

The Chinese pet industry has a broad international market but also contends with complex international situations and a volatile market environment. Thus, scientifically analyzing and predicting its development trends is crucial. This paper examines recent data trends, using normality tests, correlation analysis, the entropy weight method, time series models, multiple linear regression models, and software like MATLAB, SPSS, and EXCEL to analyze and predict the industry's development and propose strategies. A visual line chart of pet market development was drawn based on data analysis to intuitively assess the situation. Normality and correlation analyses were done, yielding key results. The entropy weight method showed the comprehensive score increasing yearly, suggesting a rising market demand for pet food and related sectors. Leveraging collected data on global pet markets, an ARIMA time series model was built for future predictions. Multiple linear regression and multi-scenario analyses were also carried out, revealing an overall upward trend in the pet industry market.

Mathematical Modeling and Algorithm ApplicationVol. 6(1)
Linyi University (CN)
Openalex Percentile: Top 56%
Medical Research and Treatments
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Research on the Pet Industry Based on Multiple Linear Regression Model — Zhengbo Liang, Jiyan Zhang · Mathematical Modeling and Algorithm Application (2025) | TGRS Research Map | TGRS